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Paper Citation Record · LEDGER

Improving Satellite Imagery Masking using Multi-task and Transfer Learning

As of 12 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 1 inbound Pith citation observation for arXiv:2412.08545.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.08545 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T21:50:17.098331Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-17T21:50:19.373728Z

Reference resolution

79 of 79 outbound references displayed

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External citation measurements

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Outbound references

Observation 13a39621-44c9-43a1-8a38-c01f55d7ac72 · outbound

This paper cites Remote sensing of suspended sediments and shallow coastal waters,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Remote sensing of suspended sediments and shallow coastal waters,

Reference 1

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Observation 9677d474-2abc-40da-bd46-01cd42e18e62 · outbound

This paper cites Utilizing hierarchical segmentation to generate water and snow masks to facilitate monitoring change with remotely sensed image data,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Utilizing hierarchical segmentation to generate water and snow masks to facilitate monitoring change with remotely sensed image data,

Reference 2

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Observation de1e7e62-be7c-44e6-8d03-9368ee106541 · outbound

This paper cites Automated masking of cloud and cloud shadow for forest change analysis using landsat images,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Automated masking of cloud and cloud shadow for forest change analysis using landsat images,

Reference 3

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Observation b388ccf2-c4aa-40b5-a5f3-bfd82ab33c69 · outbound

This paper cites High resolution forest masking for seasonal monitoring with a regionalized and colourimetri- cally assisted chorologic typology,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning High resolution forest masking for seasonal monitoring with a regionalized and colourimetri- cally assisted chorologic typology,

Reference 4

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Observation a4c95435-231b-49c2-871e-cd607cc5e5ef · outbound

This paper cites Advances in remote sensing of agriculture: Context de- scription, existing operational monitoring systems and major information needs,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Advances in remote sensing of agriculture: Context de- scription, existing operational monitoring systems and major information needs,

Reference 5

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Observation ceae3fde-a3ee-46de-ba72-f3523befd2fe · outbound

This paper cites Production of a dynamic cropland mask by processing remote sensing image series at high temporal and spatial resolutions,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Production of a dynamic cropland mask by processing remote sensing image series at high temporal and spatial resolutions,

Reference 6

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Observation 343c1c7b-1058-4e65-ae1c-cf1dd8b7aba6 · outbound

This paper cites Dmblc: An indirect urban impervious surface area extraction approach by detecting and masking background land cover on google earth image,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Dmblc: An indirect urban impervious surface area extraction approach by detecting and masking background land cover on google earth image,

Reference 7

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Observation e671ae47-52fd-4402-bc29-90b8beba86a6 · outbound

This paper cites Using aviris data and multiple- masking techniques to map urban forest tree species,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Using aviris data and multiple- masking techniques to map urban forest tree species,

Reference 8

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Observation f678bcb8-63d5-4517-8225-605107cbe3c8 · outbound

This paper cites Improved landsat operational land imager (oli) cloud and shadow detection with the learning attention network algorithm (lana),.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Improved landsat operational land imager (oli) cloud and shadow detection with the learning attention network algorithm (lana),

Reference 9

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Observation 582f4c02-d68a-4411-b020-90ba3b505a1a · outbound

This paper cites Fmask 4.0: Improved cloud and cloud shadow detection in landsats 4–8 and sentinel-2 imagery,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Fmask 4.0: Improved cloud and cloud shadow detection in landsats 4–8 and sentinel-2 imagery,

Reference 10

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Observation f05e6c42-e794-4d43-bc34-584d06d8c74e · outbound

This paper cites Improvement and expansion of the fmask algorithm: Cloud, cloud shadow, and snow detection for landsats 4–7, 8, and sentinel 2 images,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Improvement and expansion of the fmask algorithm: Cloud, cloud shadow, and snow detection for landsats 4–7, 8, and sentinel 2 images,

Reference 11

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Observation 1a1005d3-13ab-45f8-9e26-5cec9d10d5fd · outbound

This paper cites A novel water change tracking algorithm for dynamic mapping of inland water using time- series remote sensing imagery,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning A novel water change tracking algorithm for dynamic mapping of inland water using time- series remote sensing imagery,

Reference 12

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Observation 189619b2-df8f-4f59-b3d6-26716482954a · outbound

This paper cites Simple method to extract lake ice condition from landsat images,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Simple method to extract lake ice condition from landsat images,

Reference 13

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Observation 8034406e-f967-4d62-97b1-f142c163a5f1 · outbound

This paper cites The color of rivers,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning The color of rivers,

Reference 14

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Observation a2deb3cd-e8d0-4aa9-8983-5c70d3f4b22e · outbound

This paper cites Toward improved accuracy of remote sensing approaches for quantifying suspended sediment: Im- plications for suspended-sediment monitoring,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Toward improved accuracy of remote sensing approaches for quantifying suspended sediment: Im- plications for suspended-sediment monitoring,

Reference 15

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Observation a6ab20be-cb46-4dc3-ab6d-f170c1ee7feb · outbound

This paper cites Human activities change suspended sediment concentration along rivers,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Human activities change suspended sediment concentration along rivers,

Reference 16

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Observation c0beb150-d46f-4955-bf9e-da382a9db836 · outbound

This paper cites Suspended sediment monitoring and assessment for yellow river estuary from landsat tm and etm+ imagery,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Suspended sediment monitoring and assessment for yellow river estuary from landsat tm and etm+ imagery,

Reference 17

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Observation 269bc45b-d953-4472-8583-be1272ca3d5d · outbound

This paper cites Simultaneous remote sensing of river discharge and suspended sedi- ment on the sagavanirktok river, alaska.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Simultaneous remote sensing of river discharge and suspended sedi- ment on the sagavanirktok river, alaska

Reference 18

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Observation eaf980cc-947f-4950-94dd-b240937b38aa · outbound

This paper cites Riverine sediment response to deforestation in the amazon basin,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Riverine sediment response to deforestation in the amazon basin,

Reference 19

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Observation 3772a467-16fd-4b9d-aaf6-8a00ad57ce37 · outbound

This paper cites Modification of normalised difference water index (ndwi) to enhance open water features in remotely sensed imagery,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Modification of normalised difference water index (ndwi) to enhance open water features in remotely sensed imagery,

Reference 20

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Observation f687a91b-46ae-4e69-a675-7778f0f53220 · outbound

This paper cites Water bodies’ mapping from sentinel-2 imagery with modified normalized difference water index at 10-m spatial resolution produced by sharpening the swir band,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Water bodies’ mapping from sentinel-2 imagery with modified normalized difference water index at 10-m spatial resolution produced by sharpening the swir band,

Reference 21

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Observation 60737de5-91b9-4594-bd5b-a744c094909c · outbound

This paper cites Donchyts, J.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Donchyts, J

Reference 22

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Observation 8214c760-74bc-4376-8b13-93a3e449fece · outbound

This paper cites Estimating fractional snow cover from modis using the normalized difference snow index,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Estimating fractional snow cover from modis using the normalized difference snow index,

Reference 23

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Observation ac0c0031-e720-45a5-a007-5730560f4d9f · outbound

This paper cites An improved scheme for correcting remote spectral surface reflectance simultaneously for terrestrial brdf and water-surface sunglint in coastal environments,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning An improved scheme for correcting remote spectral surface reflectance simultaneously for terrestrial brdf and water-surface sunglint in coastal environments,

Reference 24

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Observation ff6f2b76-0503-47e3-9987-c5d374ba1bac · outbound

This paper cites Correction of sunglint effects in high spatial resolution hyperspectral imagery using swir or nir bands and taking account of spectral variation of refractive index of water,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Correction of sunglint effects in high spatial resolution hyperspectral imagery using swir or nir bands and taking account of spectral variation of refractive index of water,

Reference 25

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Observation beb35860-9f02-472d-bb97-6508c4bfb81c · outbound

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Improving Satellite Imagery Masking using Multi-task and Transfer Learning A high-accuracy map of global terrain elevations,

Reference 26

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This paper cites Delivering arbitrary-modal semantic segmentation,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Delivering arbitrary-modal semantic segmentation,

Reference 27

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Observation 065d2cf5-927a-4095-b688-ca2071cc08c4 · outbound

This paper cites Side adapter network for open-vocabulary semantic segmentation,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Side adapter network for open-vocabulary semantic segmentation,

Reference 28

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This paper cites Surface water mapping by deep learning,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Surface water mapping by deep learning,

Reference 29

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Observation 22ea8818-1b3a-4480-9429-0dde077d98e0 · outbound

This paper cites Cloud and cloud shadow detection in landsat imagery based on deep convolutional neural networks,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Cloud and cloud shadow detection in landsat imagery based on deep convolutional neural networks,

Reference 30

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Observation 85572c24-a236-418e-b0e8-252513074f31 · outbound

This paper cites Attention is all you need,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Attention is all you need,

Reference 31

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Source-reported events for the cited work

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Observation a52b2060-e08a-495c-a8c7-bff1f6f12347 · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 32

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Source-reported events for the cited work

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Observation 3447b008-ed1f-409d-b2ba-cf83655e1d2c · outbound

This paper cites Searching for mobilenetv3,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Searching for mobilenetv3,

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.977654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:54.996563Z digest=sha256:0ade794b382068a82ad9d41a02d50d9897dbac8ccd120350c0393f27df2a40bf

Observation 1de99f5c-9027-4f20-bc51-2443cb38d745 · outbound

This paper cites Segnet: A deep con- volutional encoder-decoder architecture for image segmentation,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Segnet: A deep con- volutional encoder-decoder architecture for image segmentation,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.962824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.001537Z digest=sha256:0f9836087a1c437c5c34fe8b044cd2e21b5037895ae0c73c9ae2b3578ddeb669

Observation ecdddfa0-6279-4700-8cc3-94ca14f203e9 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.947452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.007011Z digest=sha256:8c516278ef1574c1ed805d98eefdfd92a55a12f00b99c9d6ff18e21e71c82d8d

Observation 46fcc257-3b93-4c50-b0e4-6628b0d9c8aa · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.931869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.012811Z digest=sha256:69c170fcba42d2cfc2d8f27acc07135bb2e3ef0a6a79e27d1be4553a7620f91d

Observation a8571860-1a78-469e-8f13-8e78b89b19be · outbound

This paper cites Revisiting unreasonable effectiveness of data in deep learning era,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Revisiting unreasonable effectiveness of data in deep learning era,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.916594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.018309Z digest=sha256:b41653ac36840c0f1982b1ef0d0a5c2d65e1b087c4a1290f344a1a9cf35e61d0

Observation 0ae08ce4-ba4d-4a94-8dc8-bba3b430874b · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Laion- 5b: An open large-scale dataset for training next generation image-text models,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.901823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.023571Z digest=sha256:691cfe1cd816f0e70f234449718534df102e06a424dd0795e9b97a77ae2c6b6f

Observation 44588c8e-a9aa-4250-8c0d-f4885720a6b9 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Imagenet: A large-scale hierarchical image database,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.886913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.028797Z digest=sha256:8321fdf0755b19913ce4af1bd638268db4037b4b1c1f9c8e9afc4dc90c5c6672

Observation 801464ec-bbdc-486c-b283-846d26a24c28 · outbound

This paper cites Fast r-cnn,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Fast r-cnn,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.871680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.034839Z digest=sha256:0107d3e5f5acea933ff15a99d8f11b0ae9bf21940bdc1954d15cfb9257d5b243

Observation 478754f3-07b7-4435-8c47-f8c20d1f7695 · outbound

This paper cites Fully convolutional networks for semantic segmentation,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Fully convolutional networks for semantic segmentation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.853371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.039317Z digest=sha256:d75bdff2705c07228653a79830e4af18766cd4b16e3c6eefccef8280935f4e0c

Observation 74b94909-a161-44ff-9927-b07dfc439b27 · outbound

This paper cites Mask r-cnn,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Mask r-cnn,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.835947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.044127Z digest=sha256:f8f85c0f2f8f295fc465258cb0237593cc48fc35587516295325f78f1b5f9448

Observation ea4955a1-6e76-48c5-9ae0-882d78614e53 · outbound

This paper cites Foundation Models for Generalist Geospatial Artificial Intelligence.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Foundation Models for Generalist Geospatial Artificial Intelligence

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T17:48:55.048904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:48:55.048904Z digest=sha256:5ea4d5e4ce55bee3efdd6b9f8967654eacffe0d6d5c710dd33caba2b252a04a5

Observation e37f3229-001a-44f1-bea2-8095c629a7d9 · outbound

This paper cites Satlaspretrain: A large-scale dataset for remote sensing image under- standing,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Satlaspretrain: A large-scale dataset for remote sensing image under- standing,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.820746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.055011Z digest=sha256:6205edf9ab777537238e1a79f216cf93fbbffc24107699c407c4ad5639471ecf

Observation 1656200b-43ee-47bf-ba0b-634c7373c264 · outbound

This paper cites Improved automated detection of subpixel-scale inunda- tion—revised dynamic surface water extent (dswe) partial surface water tests,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Improved automated detection of subpixel-scale inunda- tion—revised dynamic surface water extent (dswe) partial surface water tests,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.805350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.059730Z digest=sha256:a08b6c6ae6b5859ecf4f6772830e12072db8960c7176bc15992ac240fe317654

Observation 483cb6f8-d0cc-4396-aa5f-a51636dc8d4c · outbound

This paper cites The harmonized landsat and sentinel-2 surface reflectance data set,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning The harmonized landsat and sentinel-2 surface reflectance data set,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.790306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.064574Z digest=sha256:33d6eea76050131990b08d24495cf0155d27f2981f86e7196ecbc87207df3c9f

Observation 5c898e96-8eef-4566-aca9-e3870e489c7f · outbound

This paper cites A first look at the opera surface water extent and land surface disturbance products and their applications,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning A first look at the opera surface water extent and land surface disturbance products and their applications,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.775498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.070295Z digest=sha256:25b08ebb172ac9d889a5f8898b8a924773d9e7ae311af041a5e980ade3858c21

Observation f2c007ea-0c07-4acd-a4f6-5b2ff2248bbe · outbound

This paper cites Multitask learning,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Multitask learning,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T17:48:55.075639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:48:55.075639Z digest=sha256:01cf6c1af83d7326b177ccb8869e5dd04112548a3ef454b30f0b4bfe50c8c821

Observation 1a1ea7d9-a870-49b9-818f-a387c51f43fc · outbound

This paper cites Learning to multitask,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Learning to multitask,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.750384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.080598Z digest=sha256:ee0f060fb692b4b93af145ab661a02febe233da9efa8326b6cf38af1f1a1abef

Observation e4502fa4-ce74-45de-830b-81bafd7af414 · outbound

This paper cites Seeing through the clouds with deepwatermap,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Seeing through the clouds with deepwatermap,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.735730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.085086Z digest=sha256:a8f41bd939e27a5c07727523150801724fd950ae6ee9ba8787a37119b468735a

Observation e94ae352-350b-4b43-9e39-85d4ff2e6b96 · outbound

This paper cites Suspended sediment concentration database, hydroshare,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Suspended sediment concentration database, hydroshare,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.720412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.089699Z digest=sha256:446eedcaa9b15a5e7d8ce02e87430dbdc95b438e066e39bfeb4196d826ff7636

Observation ade1ec0f-60c6-4d80-a15f-de9d88e07f0b · outbound

This paper cites Water quality at the global scale: Gemstat database and information system,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Water quality at the global scale: Gemstat database and information system,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.705205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.094650Z digest=sha256:1614e85354437cee9016259af3b3e17fa3ce699e327b769962d96d64e106362c

Observation 495362d3-f64e-4c4c-bb98-34557b6519dd · outbound

This paper cites A brief overview of the global river chemistry database, glorich,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning A brief overview of the global river chemistry database, glorich,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.689843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.099503Z digest=sha256:dc1e64f4702d6d730b68d6fdc837773c65a72d6f18ce70c6a08b89e1ffafef0f

Observation 783c5f52-c973-4216-9e58-3bdb79dd16f2 · outbound

This paper cites Modeling suspended sediment concentra- tion using artificial neural networks, an effort towards global sediment flux observations in rivers from space,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Modeling suspended sediment concentra- tion using artificial neural networks, an effort towards global sediment flux observations in rivers from space,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.675485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.104076Z digest=sha256:4a6bf423c38b731044f6f5d49c44062505182eadec35dbff58dcaad53d8db062

Observation f825f187-178b-4ddf-97d3-ca0cb82ae382 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Gradient-based learning applied to document recognition,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.659935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.109380Z digest=sha256:099036463e0eb35de4f69d14a04e3034a01bb8c33e05401dbdd6b2c14529411b

Observation 6d0c987e-b575-4394-b429-4e68f55b5868 · outbound

This paper cites Semantic scene segmen- tation in unstructured environment with modified deeplabv3+,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Semantic scene segmen- tation in unstructured environment with modified deeplabv3+,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.643561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.114294Z digest=sha256:d338eadd09eaa1f29b2fbe7fdddab929c32c71a2e6f917225614cf155cb5f634

Observation dbd6b4fc-f7b5-4c9b-a37c-01de103f09ef · outbound

This paper cites Simple convolutional neural network on image classification,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Simple convolutional neural network on image classification,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.627530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.119162Z digest=sha256:cd3d92edec564cd6838e29b9fbb3817ceb75daf0d4dae9194e49ae4be83022f9

Observation 08065b0f-bf50-446b-8285-d6cb593c12e1 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T17:48:55.124097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:48:55.124097Z digest=sha256:33222e9dfc04a7cefd2061d7a4db8be215229523e51156a5dbf3d321749b691d

Observation f358ea24-b0dd-4f6c-8b86-1bdd6f6f7d3d · outbound

This paper cites Rectified linear units improve restricted boltz- mann machines,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Rectified linear units improve restricted boltz- mann machines,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.611359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.129114Z digest=sha256:c6f3821c45c80eda521c8e8daf558de242de5cae891082fced36d7a52662339c

Observation 4fe96ceb-7395-4b55-8d82-18f1142c888f · outbound

This paper cites Rectifier nonlinearities improve neural network acoustic models,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Rectifier nonlinearities improve neural network acoustic models,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.595718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.134056Z digest=sha256:2524a1d0691eea0c37e70927f855d1408aa389bc20aa8c4384dc9448be15ee11

Observation 42c59f54-ae98-49f6-b4a4-967b018b5234 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning U-net: Convolutional networks for biomedical image segmentation,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.580443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.139719Z digest=sha256:aa5b810662a20ed8bf0d84558e875e746283a38f38ed4ba25f9254fb925151d8

Observation a1becf89-b419-49c7-a3b3-a858fefd42f2 · outbound

This paper cites Deep residual learning for image recognition,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Deep residual learning for image recognition,

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T17:48:55.144451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:48:55.144451Z digest=sha256:976f1f9918a103dd124d38a6353ad658cfa03504f4a0a3093247ad82cee18d1d

Observation 6b19ac16-6704-4634-9169-23fa56aeb692 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Neural Machine Translation by Jointly Learning to Align and Translate

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-11T17:48:55.148839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:48:55.148839Z digest=sha256:69c6af24fffceb9fdcb91a74917430a87f2daffbd0df55b4efb3a47261b16a85

Observation 85c7be99-8b81-458f-b848-5fd987d505ed · outbound

This paper cites Decaf: A deep convolutional activation feature for generic visual recognition,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Decaf: A deep convolutional activation feature for generic visual recognition,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.555562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.153747Z digest=sha256:9eacfa2538b7ddd41c94599fb054137bff32ec0358fb35a1c7ed65b7f62d8e96

Observation d9dd2389-c9b1-4ca4-87af-106bc8a90e81 · outbound

This paper cites Instance-aware semantic segmentation via multi-task network cascades,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Instance-aware semantic segmentation via multi-task network cascades,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.540978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.158300Z digest=sha256:d70ca7cbc4ec0224b8ed25a610f8772a736a19cbb727c159d046a3b51fc15729

Observation fc0a3fee-f1d3-4a59-90ab-b215f5465893 · outbound

This paper cites Rich feature hierarchies for accurate object detection and semantic segmentation,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Rich feature hierarchies for accurate object detection and semantic segmentation,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.525629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.163460Z digest=sha256:da64df6b5bc2e1dc7190905a13b59d0eeb45e518803ee44c430c902356d481e8

Observation d2b33430-3bad-4a0a-abe2-1efc89303f72 · outbound

This paper cites Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Multi-sensor cloud and cloud shadow segmentation with a convolutional neural network,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.510258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.168115Z digest=sha256:9a1b6d2ee50bc78d105c3fb46b325243e3b96bb20ceba1b9d6bf8cad82b4a54f

Observation 4045b00e-f313-46c5-b381-c1c20537a4d0 · outbound

This paper cites A threshold selection method from gray-level his- tograms,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning A threshold selection method from gray-level his- tograms,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.495261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T17:48:55.173670Z digest=sha256:2a2012bf3c92151d96dcd5974dbb1ecd6c35aafa5549bf4c0c26304208def54c

Observation 52edf80e-3d51-41f9-b468-543ab5416d44 · outbound

This paper cites Sunmask algorithm,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Sunmask algorithm,

Reference 69

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verified fuzzy
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Observation f71375b6-e4d0-403a-9c9c-69d547883dba · outbound

This paper cites The astronomical almanac’s algorithm for approximate solar position (1950–2050),.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning The astronomical almanac’s algorithm for approximate solar position (1950–2050),

Reference 70

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verified fuzzy
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d13f81d1-601d-4ee2-beac-d4b622b20554 · outbound

This paper cites Fourier series representation of the position of the sun.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Fourier series representation of the position of the sun

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.448871Z

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Observation 2c493c41-0281-4253-88ba-3d776806b621 · outbound

This paper cites Sun-pointing programs and their accuracy,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Sun-pointing programs and their accuracy,

Reference 72

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation aa2939ff-049e-419c-a19b-6a2cf523040d · outbound

This paper cites An introduction to computational geometry,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning An introduction to computational geometry,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.417853Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation e8a65255-8533-476c-9437-8bbc5b3a3fd7 · outbound

This paper cites An all-scale feature fusion network with boundary point prediction for cloud detection,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning An all-scale feature fusion network with boundary point prediction for cloud detection,

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.401088Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 19fd13c6-02f2-4c3c-9201-d07f1b5c3acc · outbound

This paper cites Cdunet: Cloud detection unet for remote sensing imagery,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Cdunet: Cloud detection unet for remote sensing imagery,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.383596Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 846b8a39-ac80-4f88-92f5-27c70340c897 · outbound

This paper cites Cloud detection in optical remote sensing images with deep semi-supervised and active learning,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Cloud detection in optical remote sensing images with deep semi-supervised and active learning,

Reference 76

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a458005c-131d-4f5d-b5bd-1b1cd2c9d4d9 · outbound

This paper cites Confluence: An open-source framework for swot discharge estimation and value- added products,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Confluence: An open-source framework for swot discharge estimation and value- added products,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.351423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ad81c400-53b6-457c-8d1c-ba9bc3fe3c7e · outbound

This paper cites The surface water and ocean topography (swot) mission river database (sword): A global river network for satellite data products,.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning The surface water and ocean topography (swot) mission river database (sword): A global river network for satellite data products,

Reference 78

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verified fuzzy
raw_fallback, observed 2026-08-11T17:48:55.334849Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0842efdc-4de5-4a95-a970-71a491878427 · outbound

This paper cites an unresolved cited work.

Improving Satellite Imagery Masking using Multi-task and Transfer Learning Unresolved cited work

Reference 2018

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:48:55.316432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Pith citing papers

Observation 9361aa6a-67c8-4717-bda8-d6ed6fe28511 · inbound

EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence cites this paper.

EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence Improving Satellite Imagery Masking using Multi-task and Transfer Learning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:50:19.375891Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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