Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:57:18.754849Z
Paper Citation Record · LEDGER
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping
As of 16 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2501.03360.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
66 of 66 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 83121612-8f94-4466-98fe-8dcce852a7bf · outbound
This paper cites Estimating mangrove tree biomass and carbon con- tent: A comparison of forest inventory techniques and drone imagery,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Estimating mangrove tree biomass and carbon con- tent: A comparison of forest inventory techniques and drone imagery,
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4ad9c605-9a7b-433d-ab69-36be570e7404 · outbound
This paper cites Nellemann and E.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Nellemann and E
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d8794fbf-5dfa-49ae-8865-27feebfe55b0 · outbound
This paper cites Mangrove roots model suggest an optimal porosity to prevent erosion,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Mangrove roots model suggest an optimal porosity to prevent erosion,
Reference 3
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 48535b09-32c9-4939-8b65-d64317a1e9e9 · outbound
This paper cites Global economic potential for reducing carbon dioxide emissions from mangrove loss,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Global economic potential for reducing carbon dioxide emissions from mangrove loss,
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7a735fd9-2674-4d10-b6ab-6d95dd4fc4d8 · outbound
This paper cites Mangrove management for climate change adaptation and sus- tainable development in coastal zones,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Mangrove management for climate change adaptation and sus- tainable development in coastal zones,
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a59bd55a-d2a5-4467-9492-30b1284cb791 · outbound
This paper cites Impact of mangrove forests degradation on biodiversity and ecosystem functioning,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Impact of mangrove forests degradation on biodiversity and ecosystem functioning,
Reference 6
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5b40c513-f1fe-453d-9208-65798e428959 · outbound
This paper cites Global potential and limits of mangrove blue carbon for climate change miti- gation,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Global potential and limits of mangrove blue carbon for climate change miti- gation,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.942927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 671a3e06-e2b8-4d29-9833-b5680e88accf · outbound
This paper cites Estimating and mapping mangrove biomass dynamic change using WorldView-2 images and digital surface models,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Estimating and mapping mangrove biomass dynamic change using WorldView-2 images and digital surface models,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.925350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c36f9f58-5006-4702-81ae-dfc908eababd · outbound
This paper cites Mapping mangrove using a red-edge mangrove index (REMI) based on Sentinel-2 multispectral images,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Mapping mangrove using a red-edge mangrove index (REMI) based on Sentinel-2 multispectral images,
Reference 9
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c6686b9c-5d36-4b39-925e-e2a2ffbf8b0d · outbound
This paper cites A comparison of Gaofen-2 and Sentinel-2 imagery for mapping mangrove forests using object-oriented analysis and random forest,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping A comparison of Gaofen-2 and Sentinel-2 imagery for mapping mangrove forests using object-oriented analysis and random forest,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.884297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cd436bbd-f692-413e-b283-05897be3f972 · outbound
This paper cites Hyperspectral remote sensing data analysis and future challenges,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Hyperspectral remote sensing data analysis and future challenges,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.862628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 80922108-76e4-4c3b-8613-9853dd852188 · outbound
This paper cites Modern trends in hyperspectral image analysis: A review,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Modern trends in hyperspectral image analysis: A review,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.836012Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 67074070-bf37-46ce-b21e-d8230ac3a9e9 · outbound
This paper cites All-addition hyperspectral compressed sensing for metasurface-driven miniaturized satellite,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping All-addition hyperspectral compressed sensing for metasurface-driven miniaturized satellite,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.813595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 28db15e9-6e7b-47ca-9bb3-6c6223d6a050 · outbound
This paper cites Signal subspace identification for incom- plete hyperspectral image with applications to various inverse problems,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Signal subspace identification for incom- plete hyperspectral image with applications to various inverse problems,
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6d2eab70-581d-4a36-a611-518965afa5ae · outbound
This paper cites Graph convolutional networks for hyperspectral image classification,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Graph convolutional networks for hyperspectral image classification,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.766535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 90e49b6c-d5f8-4e87-91f6-6fce937dd546 · outbound
This paper cites Hyperspectral change detection based on multiple morphological profiles,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Hyperspectral change detection based on multiple morphological profiles,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.741471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 50de55c8-aa85-4f1e-b6bc-08376eb7490c · outbound
This paper cites Hyperspectral change detection using semi- supervised graph neural network and convex deep learning,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Hyperspectral change detection using semi- supervised graph neural network and convex deep learning,
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b518e51-35e8-41c3-9206-2d9e9bc220a9 · outbound
This paper cites Mapping invasive aquatic vegetation in the Sacramento- San Joaquin Delta using hyperspectral imagery,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Mapping invasive aquatic vegetation in the Sacramento- San Joaquin Delta using hyperspectral imagery,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.705190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8d3e8736-1d89-4e84-b5ea-11c63ff8208a · outbound
This paper cites CODE-MM: Convex deep mangrove mapping algorithm based on optical satellite images,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping CODE-MM: Convex deep mangrove mapping algorithm based on optical satellite images,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.685629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation efc5b628-55ef-4d06-845b-21ec27969285 · outbound
This paper cites Hyperspectral tensor completion using low-rank modeling and convex functional analysis,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Hyperspectral tensor completion using low-rank modeling and convex functional analysis,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.665898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3d3083b4-f31d-4701-bd6e-f6e650277485 · outbound
This paper cites HyperQUEEN: Hyperspectral quantum deep network for image restoration,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping HyperQUEEN: Hyperspectral quantum deep network for image restoration,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.647469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f70e5b8a-de20-4818-acc2-34d7c4d13b85 · outbound
This paper cites Transformer-driven inverse problem transform for fast blind hyperspectral image dehazing,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Transformer-driven inverse problem transform for fast blind hyperspectral image dehazing,
Reference 22
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea147683-5a8b-46fc-bb2d-e39c0e773cd9 · outbound
This paper cites Remote sensing of mangrove ecosystems: A review,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Remote sensing of mangrove ecosystems: A review,
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation cfbeaa2f-fa4c-42d3-b6b3-a74721e9349b · outbound
This paper cites Remote sensing techniques for mangrove mapping,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Remote sensing techniques for mangrove mapping,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.593728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0bc492ac-e41b-4417-b285-f5d079c8cd67 · outbound
This paper cites Maximum volume inscribed ellipsoid: A new simplex-structured matrix factoriza- tion framework via facet enumeration and convex optimization,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Maximum volume inscribed ellipsoid: A new simplex-structured matrix factoriza- tion framework via facet enumeration and convex optimization,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.573326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation daff4413-8ded-4ff6-9d98-b4f44aa75a9b · outbound
This paper cites Sentinel-2: ESA’s optical high- resolution mission for GMES operational services,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Sentinel-2: ESA’s optical high- resolution mission for GMES operational services,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.552843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 580a836c-31c1-459a-8d7a-978d3f2dc343 · outbound
This paper cites Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Development and application of a new mangrove vegetation index (MVI) for rapid and accurate mangrove mapping,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.534751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ffe62592-39f8-49ae-b086-27b3537d9ed2 · outbound
This paper cites Deep convolutional neural net- work for mangrove mapping,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Deep convolutional neural net- work for mangrove mapping,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.512377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d70f4a70-722b-402c-a0db-a68b9f0b42ed · outbound
This paper cites Theory of the backpropagation neural network,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Theory of the backpropagation neural network,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.493245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 697808f0-7ef6-4bd3-8ac1-662a1fcbf032 · outbound
This paper cites Remote sensing techniques: Mapping and monitoring of mangrove ecosystem—A review,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Remote sensing techniques: Mapping and monitoring of mangrove ecosystem—A review,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.474643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e0c59cc8-9407-487a-8a5a-1cb90589a270 · outbound
This paper cites A soil-adjusted vegetation index (SA VI),.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping A soil-adjusted vegetation index (SA VI),
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.455183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a92caadd-7394-442f-b75b-03f16533ecea · outbound
This paper cites Overview of the radiometric and biophysical performance of the MODIS vegetation indices,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Overview of the radiometric and biophysical performance of the MODIS vegetation indices,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.433006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7995c108-dd30-4981-b8dd-12ed7ea166cb · outbound
This paper cites Red and photographic infrared linear combinations for monitoring vegetation,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Red and photographic infrared linear combinations for monitoring vegetation,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.413305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 46c8c0a1-53ba-49e0-8765-5fb030b781ec · outbound
This paper cites Brazilian mangrove status: Three decades of satellite data analysis,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Brazilian mangrove status: Three decades of satellite data analysis,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.394596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 437c0950-bd19-4315-8763-2f72f032592d · outbound
This paper cites Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.375860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2966f5d9-c2a7-412c-95ca-8c269117a5d1 · outbound
This paper cites Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Enhanced mangrove vegetation index based on hyperspectral images for mapping mangrove,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.355493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a7e88554-10ed-487f-8d54-5909a248e7e9 · outbound
This paper cites Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA),.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Identifying mangroves through knowledge extracted from trained random forest models: An interpretable mangrove mapping approach (IMMA),
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.338873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0f094a67-0c06-4011-aa24-71509d9710a5 · outbound
This paper cites GC-UNet: An improved UNet model for mangrove segmentation using Landsat8,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping GC-UNet: An improved UNet model for mangrove segmentation using Landsat8,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.321661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2b7c8eba-b000-428d-a713-291a9e072e38 · outbound
This paper cites U-Net: Convolutional net- works for biomedical image segmentation,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping U-Net: Convolutional net- works for biomedical image segmentation,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.304795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 32d24dce-f953-4e4b-9999-38be749f82b2 · outbound
This paper cites Mapping large-scale mangroves along the Maritime Silk Road from 1990 to 2015 using a novel deep learning model and Landsat data,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Mapping large-scale mangroves along the Maritime Silk Road from 1990 to 2015 using a novel deep learning model and Landsat data,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.287185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9e0464bf-c1d6-4404-af7e-9ad0c58ea88e · outbound
This paper cites Capsules for Object Segmentation.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Capsules for Object Segmentation
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:57:18.602493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53ec686a-b406-41a4-a8cd-0cda128510e8 · outbound
This paper cites ME-Net: A deep convolutional neural network for extracting mangrove using Sentinel- 2A data,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping ME-Net: A deep convolutional neural network for extracting mangrove using Sentinel- 2A data,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.270031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e09ed13f-826a-4d58-93c7-9063ad021a55 · outbound
This paper cites ADMM-ADAM: A new inverse imaging framework blending the advantages of convex optimization and deep learning,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping ADMM-ADAM: A new inverse imaging framework blending the advantages of convex optimization and deep learning,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.252333Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 27f9b1b9-39d6-4ff9-98b1-51102c1a970e · outbound
This paper cites Quantum- enhanced deep learning-based lithology interpretation from well logs,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Quantum- enhanced deep learning-based lithology interpretation from well logs,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.231918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 872f8459-ca18-48eb-93c6-fbe83311bf0d · outbound
This paper cites Learning two-branch neural networks for image-text matching tasks,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Learning two-branch neural networks for image-text matching tasks,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.212846Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8dadc4bd-3e7f-4d06-9842-9319a161d7a1 · outbound
This paper cites Rectifier nonlinearities improve neural network acoustic models,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Rectifier nonlinearities improve neural network acoustic models,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.195094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4e16164f-a659-41f1-a519-99e2dc4c09c6 · outbound
This paper cites an unresolved cited work.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-10T21:57:19.176923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d69f77a8-d3c0-4227-94a0-39e128969669 · outbound
This paper cites PRIME: Blind Multispectral Unmixing Using Virtual Quantum Prism and Convex Geometry.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping PRIME: Blind Multispectral Unmixing Using Virtual Quantum Prism and Convex Geometry
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:57:18.808131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7b247d60-6a40-4f36-b507-e43a48e1792a · outbound
This paper cites Residual spectral– spatial attention network for hyperspectral image classification,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Residual spectral– spatial attention network for hyperspectral image classification,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.155707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 07a642f4-59e3-4f18-9e09-236395065bcc · outbound
This paper cites Super-resolution map- ping based on spatial–spectral correlation for spectral imagery,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Super-resolution map- ping based on spatial–spectral correlation for spectral imagery,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.135805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b3cfb068-879a-46ff-b8da-f6ce790fde2d · outbound
This paper cites Robust dual graph self- representation for unsupervised hyperspectral band selection,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Robust dual graph self- representation for unsupervised hyperspectral band selection,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.116663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a25632f-87f6-47f7-a09e-0ede4f50192b · outbound
This paper cites Hyperspectral image classification with deep feature fusion network,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Hyperspectral image classification with deep feature fusion network,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.096735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c2f7f308-26e1-4dab-a55f-3498c06a83e7 · outbound
This paper cites Quantum copying: Beyond the no-cloning theorem,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Quantum copying: Beyond the no-cloning theorem,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.080159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7bc127b7-fe16-484f-8105-464fc9f5e3c9 · outbound
This paper cites Sentinel-2 MSI: MultiSpectral Instrument, Level-2A,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Sentinel-2 MSI: MultiSpectral Instrument, Level-2A,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.062925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c89886fd-f48b-4372-90c4-d17f3b28af17 · outbound
This paper cites An explicit and scene-adapted definition of convex self-similarity prior with application to unsupervised Sentinel-2 super-resolution,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping An explicit and scene-adapted definition of convex self-similarity prior with application to unsupervised Sentinel-2 super-resolution,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.028473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 989e987b-0366-4faf-ae26-5ba1239c014d · outbound
This paper cites A noval super-resolution model for 10-m mangrove mapping with landsat-5,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping A noval super-resolution model for 10-m mangrove mapping with landsat-5,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.008369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 783e4523-b1d1-4590-be6b-cf05a9e8d35f · outbound
This paper cites Ash- former: Axial and sliding window-based attention with high-resolution transformer for automatic stratigraphic correlation,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Ash- former: Axial and sliding window-based attention with high-resolution transformer for automatic stratigraphic correlation,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:18.990835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 975a44d2-4c0a-4ab2-88b6-b6fc2d0d9dd7 · outbound
This paper cites Seismic at- tributes aided horizon interpretation using an ensemble dense inception 13 transformer network,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Seismic at- tributes aided horizon interpretation using an ensemble dense inception 13 transformer network,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:18.973028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c43e1a6-cdf9-4133-b48f-6471e8108a3f · outbound
This paper cites Clark Lab: Coastal Habitat Mapping: Mangrove and Pond Aqua- culture Conversion ,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Clark Lab: Coastal Habitat Mapping: Mangrove and Pond Aqua- culture Conversion ,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:18.955528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ab294312-1a20-4100-8815-bce984aef544 · outbound
This paper cites Decoupled weight decay regularization,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Decoupled weight decay regularization,
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:18.937341Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 0490cbce-55e1-4a0f-b182-74978bf17eae · outbound
This paper cites Detection of mangrove distribution in Pongok Island,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Detection of mangrove distribution in Pongok Island,
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:18.919000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 85c63dab-7e6c-4e74-bcdf-612931b3095f · outbound
This paper cites Rates and drivers of mangrove de- forestation in Southeast Asia, 2000–2012,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Rates and drivers of mangrove de- forestation in Southeast Asia, 2000–2012,
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:18.902403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e7e00075-2a4c-4757-b6bf-36076037fad9 · outbound
This paper cites Accuracy and inaccuracy assessments in land- cover classification,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Accuracy and inaccuracy assessments in land- cover classification,
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:18.885094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3db2ee0a-17e9-46b3-932a-94a3de4f360f · outbound
This paper cites Comparative assessment of the measures of thematic classification accuracy,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Comparative assessment of the measures of thematic classification accuracy,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:18.867724Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a8908557-3ae9-4f1c-8ea7-5c65bef7cb62 · outbound
This paper cites Coefficient kappa: Some uses, misuses, and alternatives,.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Coefficient kappa: Some uses, misuses, and alternatives,
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:18.850448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dfe0ea81-3c02-47be-b9ad-1de33dee4796 · outbound
This paper cites Available: https://developers.google.com/earth-engine/ datasets/catalog/COPERNICUS S2 SR#bands.
Quantum Feature-Empowered Deep Classification for Fast Mangrove Mapping Available: https://developers.google.com/earth-engine/ datasets/catalog/COPERNICUS S2 SR#bands
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:57:19.045938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.