Pith. sign in

Paper Citation Record · LEDGER

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification

As of 16 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:1908.09526.

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

pith.paper-citation-record.v1
1908.09526 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:13:13.845300Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy37
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5899546-7ad0-4884-9670-9dc1a6655e0c · outbound

This paper cites Modern trends in hyperspectral image analysis: A review,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Modern trends in hyperspectral image analysis: A review,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-14T11:13:13.658392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:13:13.658392Z digest=sha256:95156b43ced29c91f91946d9cbe7cd9bdf3dc5e0d6e98e99086f237f5060492d

Observation b060a026-2e93-4fd3-9603-730738968152 · outbound

This paper cites Semi-supervised learning through label propagation on geodesics,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Semi-supervised learning through label propagation on geodesics,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.518603Z

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.

source=pdf_text observed=2026-08-14T11:13:13.663016Z digest=sha256:4d24ba5a71cb201d0dbd5ad8600af92f922b731e2f324ae361a9c17dc71b9767

Observation ce93e3d8-1339-4d0f-817b-fbb83fe0f169 · outbound

This paper cites Extended random walker-based classification of hyperspectral images,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Extended random walker-based classification of hyperspectral images,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.502286Z

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.

source=pdf_text observed=2026-08-14T11:13:13.667480Z digest=sha256:30ee07690da63953010632a556fc1b4184ed08d8e07010d5d1719be13e4bfbbe

Observation 9309b8d2-669b-4b2d-94b6-d3760db77038 · outbound

This paper cites Salient band selection for hyperspectral image classification via manifold ranking,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Salient band selection for hyperspectral image classification via manifold ranking,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.484106Z

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.

source=pdf_text observed=2026-08-14T11:13:13.671665Z digest=sha256:ca2b4dc74683ea1c390ee1f34261b8b49a13521759610d31627151c3dae323b3

Observation 1571e6ab-87f7-40b8-a671-59418d8c4226 · outbound

This paper cites Similarity-based unsupervised band selection for hyperspectral image analysis.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Similarity-based unsupervised band selection for hyperspectral image analysis

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.469904Z

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.

source=pdf_text observed=2026-08-14T11:13:13.675704Z digest=sha256:2e91477bef3f4bcae530510df9fa147a300da217d34a2a0ce7dcc74893915608

Observation a8e41a73-8af2-4910-a2c0-d3a84952254b · outbound

This paper cites Hyperspectral image classification via multitask joint sparse representation and stepwise mrf optimization,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Hyperspectral image classification via multitask joint sparse representation and stepwise mrf optimization,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.457314Z

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.

source=pdf_text observed=2026-08-14T11:13:13.679449Z digest=sha256:4d4c437c5de59b79c4edca648a663ccba8d5ad7c7961b1efb79d368594738477

Observation c94e9845-f4fd-4af7-9077-cadd63a5454d · outbound

This paper cites Superpca: A superpixelwise pca approach for unsupervised feature extraction of hyperspectral imagery,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Superpca: A superpixelwise pca approach for unsupervised feature extraction of hyperspectral imagery,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.445171Z

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.

source=pdf_text observed=2026-08-14T11:13:13.683333Z digest=sha256:de151f6259605cac712a99f7342c71e3c83c244d496676bf33569ef031826a3a

Observation 3c75c006-dbd0-4ec7-b068-cda216af0fbd · outbound

This paper cites Limitations of principal components analysis for hyperspectral target recognition,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Limitations of principal components analysis for hyperspectral target recognition,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.429720Z

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.

source=pdf_text observed=2026-08-14T11:13:13.688139Z digest=sha256:59cd66c1564e17e20a8ea72c8a89b0fd90c40e828e423286afec45d03c410e21

Observation 9eb12715-4d88-4c4d-acac-0d3bb9205883 · outbound

This paper cites Unsupervised feature ex- traction based on a mutual information measure for hyperspectral image classification,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Unsupervised feature ex- traction based on a mutual information measure for hyperspectral image classification,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.414595Z

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.

source=pdf_text observed=2026-08-14T11:13:13.692874Z digest=sha256:29cb13ee0744b0a4ff047f03f62c4914d5304be11df989ce20a6fcf6a2f19e3e

Observation 2ef31572-9c58-473b-859d-f4a91b3041a3 · outbound

This paper cites Dimensionality reduction via regression in hyperspectral imagery,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Dimensionality reduction via regression in hyperspectral imagery,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.397738Z

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.

source=pdf_text observed=2026-08-14T11:13:13.698489Z digest=sha256:e863a8fe3d5fb513555b5575eecff50b21ae582de6554dbf7d76053a8a4d88b4

Observation ad15f257-c103-4591-9f08-b1be9b4d6cc4 · outbound

This paper cites Classification of hyperspectral images with regularized linear discriminant analysis,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Classification of hyperspectral images with regularized linear discriminant analysis,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.381861Z

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.

source=pdf_text observed=2026-08-14T11:13:13.702532Z digest=sha256:24357f44aa62c1583c511d9b46bdff10a791c811b26c0b4f0c181fed2c5376a4

Observation 9d8e2170-c297-41e8-9405-3e3367a7c186 · outbound

This paper cites A modified locality-preserving projection approach for hyperspectral image classification,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification A modified locality-preserving projection approach for hyperspectral image classification,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.366415Z

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.

source=pdf_text observed=2026-08-14T11:13:13.710641Z digest=sha256:97027a0cd93f303dfffd4f06b046cada8e23c37a84b06d0322bf057cf56e6094

Observation 8dc39610-4386-486a-a418-04a9271e406c · outbound

This paper cites Discover latent discriminant information for dimensional- ity reduction: Non-negative sparseness preserving embedding,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Discover latent discriminant information for dimensional- ity reduction: Non-negative sparseness preserving embedding,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.352973Z

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.

source=pdf_text observed=2026-08-14T11:13:13.716056Z digest=sha256:36a7314ecd1406f1bfa0a4d9866a6750504e90e3f360940ce1053622f81d275b

Observation 81160c1b-d240-4db9-9eb7-695d8ab1e267 · outbound

This paper cites Locality and structure regularized low rank representation for hyperspectral image classification,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Locality and structure regularized low rank representation for hyperspectral image classification,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.339200Z

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.

source=pdf_text observed=2026-08-14T11:13:13.721026Z digest=sha256:01685766e9d1574110842a6c2fb878b6a30e1029b9790da3db6e6ddf470f28dc

Observation d99772f6-6bb7-41f6-812a-f549a9c260d8 · outbound

This paper cites Spectral–spatial hyperspectral image classification with edge-preserving filtering,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Spectral–spatial hyperspectral image classification with edge-preserving filtering,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.324474Z

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.

source=pdf_text observed=2026-08-14T11:13:13.726437Z digest=sha256:2a57ae9c218015fe6290f88b075ef484f7eda21cee5bc8c41ba07344525a68b1

Observation bb33ef33-55b1-4b6a-981b-eedc01a5674f · outbound

This paper cites Kernel-based methods for hyperspec- tral image classification,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Kernel-based methods for hyperspec- tral image classification,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.310830Z

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.

source=pdf_text observed=2026-08-14T11:13:13.731126Z digest=sha256:b77e1227e680fc9bfd5e5f059ed926c2a8e2cb3f9a725f094bc6ee7c08c0b41c

Observation edccf345-2527-4c1d-b1bf-5b6b5f50a955 · outbound

This paper cites Classification and feature extraction for remote sensing images from urban areas based on morphological transformations,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Classification and feature extraction for remote sensing images from urban areas based on morphological transformations,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.298090Z

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.

source=pdf_text observed=2026-08-14T11:13:13.735588Z digest=sha256:2aedaed3f91ad495bce3852a48bf60ec8f2681d192ad087aa05767ab64ffe142

Observation 6a916a9e-59f2-489f-a20f-3191a96d7355 · outbound

This paper cites Composite kernels for hyperspectral image classification,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Composite kernels for hyperspectral image classification,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.283346Z

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.

source=pdf_text observed=2026-08-14T11:13:13.739935Z digest=sha256:0d55543602b833075a4463ad777ee46bf99b03f6f44b31f5e7f40d473d24d426

Observation d15931ab-a8e4-4992-ac41-16d152649f9b · outbound

This paper cites Video segmentation with superpixels,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Video segmentation with superpixels,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.269174Z

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.

source=pdf_text observed=2026-08-14T11:13:13.744224Z digest=sha256:4e9afbcf9c8ec31713ecd6f5a9b4e5e08bc3cfb879735c9a0ea81d750e1c2f0f

Observation 7dd5057e-1ad3-4f29-b6fb-bfaa193250f9 · outbound

This paper cites Representation learning: A review and new perspectives,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Representation learning: A review and new perspectives,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.253808Z

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.

source=pdf_text observed=2026-08-14T11:13:13.748401Z digest=sha256:c8c3ce9e6b8d2f2dd886f82c6cf5243bb7393a443b6bcb73cedca1e82d6f8a18

Observation 7bfcb5ec-738c-4876-a2e3-a15b148fd958 · outbound

This paper cites Deep hierarchies in the primate visual cortex: What can we learn for computer vision?.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Deep hierarchies in the primate visual cortex: What can we learn for computer vision?

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.238790Z

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.

source=pdf_text observed=2026-08-14T11:13:13.752389Z digest=sha256:8fc8f541f211536a7451bbf95afe67b7e88c3d244be62be0831271783aebe6a1

Observation ff894f18-6129-49b4-8e37-e003bd22bb8d · outbound

This paper cites Deep learning-based classification of hyperspectral data,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Deep learning-based classification of hyperspectral data,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.217861Z

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.

source=pdf_text observed=2026-08-14T11:13:13.757304Z digest=sha256:f23a13bee33a7903175e48dcaa2d68cd79cb6b58d033ad4bb7f55c3e4c1966a3

Observation bf01fbe4-64a1-43f5-83b5-11e6d8427012 · outbound

This paper cites Spectral–spatial feature extraction for hsi classification based on supervised hypergraph and sample expanded cnn,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Spectral–spatial feature extraction for hsi classification based on supervised hypergraph and sample expanded cnn,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.201523Z

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.

source=pdf_text observed=2026-08-14T11:13:13.761996Z digest=sha256:5804fb5d894e0c5b47ad2d396ffcf025e883cbef46342eb649ccddc800cb88ab

Observation 69803d5c-3ce3-4cd5-afb3-c4babcf14bf2 · outbound

This paper cites Cnn-based multilayer spatial–spectral feature fusion and sample aug- mentation with local and nonlocal constraints for hyperspectral image classification,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Cnn-based multilayer spatial–spectral feature fusion and sample aug- mentation with local and nonlocal constraints for hyperspectral image classification,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.180909Z

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.

source=pdf_text observed=2026-08-14T11:13:13.766854Z digest=sha256:0135b36a9d80a71a97a516eaa71bc42d98316824356864f59e0a5277d892440d

Observation c3246394-7fbb-46dd-b910-7e753828fdbc · outbound

This paper cites Multisource remote sensing data classification based on convolutional neural network,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Multisource remote sensing data classification based on convolutional neural network,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.158955Z

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.

source=pdf_text observed=2026-08-14T11:13:13.771512Z digest=sha256:281fa686577fe4fb852ad4e70133a6fcfee76afc3b298e444a3386f6188ec062

Observation c61ed9af-08e6-4e8e-8c2c-485283df26eb · outbound

This paper cites Scene classification with recurrent attention of vhr remote sensing images,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Scene classification with recurrent attention of vhr remote sensing images,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.132490Z

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.

source=pdf_text observed=2026-08-14T11:13:13.775965Z digest=sha256:a5b73aab8e7fb7ba1aa1d0b3831d2d709d0bad4e3af5baffa3672ad92d88f796

Observation ab282951-630c-4e4f-8cbd-1132c90b5097 · outbound

This paper cites Deep feature extraction and classification of hyperspectral images based on convolutional neural networks,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Deep feature extraction and classification of hyperspectral images based on convolutional neural networks,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.103627Z

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.

source=pdf_text observed=2026-08-14T11:13:13.780276Z digest=sha256:e86673e1864fbbdec7fa6022ed5df30a34909a551b83e8ce1a55ac57b42936a6

Observation 0c39a1aa-e469-43f3-9418-b53ab5a9de65 · outbound

This paper cites Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.083916Z

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.

source=pdf_text observed=2026-08-14T11:13:13.784008Z digest=sha256:a165ad32df30abdfec81409d540cdf98742762ca1891c6e19051ddc6c435e559

Observation 483923dc-a8e2-4b86-ae55-a06d064afc94 · outbound

This paper cites Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.065871Z

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.

source=pdf_text observed=2026-08-14T11:13:13.787826Z digest=sha256:df54b21e789ca0d99d13c11f9ebe20bd2f1bee23526ff16d8f7784aa1f9d05f6

Observation 1565f76b-b53a-4b4d-8a88-499c4ea4d3e5 · outbound

This paper cites Going deeper with contextual cnn for hyperspec- tral image classification,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Going deeper with contextual cnn for hyperspec- tral image classification,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.048999Z

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.

source=pdf_text observed=2026-08-14T11:13:13.792068Z digest=sha256:21b7c1d4baeaf6a559c67fb32369ea284c6a8f0d1941817de96e0aaf6e875eaa

Observation 9764ce67-4172-4b7c-8441-e14b489dec8e · outbound

This paper cites Spectral-spatial residual network for hyperspectral image classification: A 3-d deep learning framework,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Spectral-spatial residual network for hyperspectral image classification: A 3-d deep learning framework,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.032126Z

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.

source=pdf_text observed=2026-08-14T11:13:13.796135Z digest=sha256:c96ec41e50579468fc00c75eee0ec20de33d0b1e468b25eb5a3ff349d7b5f82c

Observation 0f9089e8-aa2d-4420-86af-85e054775a8b · outbound

This paper cites High-order possibilistic c- means algorithms based on tensor decompositions for big data in iot,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification High-order possibilistic c- means algorithms based on tensor decompositions for big data in iot,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:14.013555Z

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.

source=pdf_text observed=2026-08-14T11:13:13.801970Z digest=sha256:4db8f68c905bd0175670afd1a5890a3f705a3d2c6c0f4e78fcefd287464eee55

Observation a9007ed1-28c7-4828-a099-f1033451d1a8 · outbound

This paper cites Foundations of the parafac procedure: Models and conditions for an.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Foundations of the parafac procedure: Models and conditions for an

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:13.990804Z

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.

source=pdf_text observed=2026-08-14T11:13:13.806048Z digest=sha256:f8f405a97988761d3599703e0c52389f4e0d620e569184468674271645812cb7

Observation 67e56bbf-7310-482d-8636-bb7063e0c9c3 · outbound

This paper cites A multilinear singular value decomposition,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification A multilinear singular value decomposition,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:13.975915Z

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.

source=pdf_text observed=2026-08-14T11:13:13.810455Z digest=sha256:03d58519585babada93a620f21d3534b53123590a4727336bfc4bbd08e3656f7

Observation 92b55036-ab6f-49bc-8794-b01bcb68a63d · outbound

This paper cites Some mathematical notes on three-mode factor analysis,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Some mathematical notes on three-mode factor analysis,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-14T11:13:13.815874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:13:13.815874Z digest=sha256:f1392b70a945ea16a0732bf27313a0b94b451a9d5d301a781ce72868fd139b23

Observation 587f8a60-f088-4595-87cd-26b6fb8c466b · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-14T11:13:13.819721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:13:13.819721Z digest=sha256:01ab74a9cb5149340071c24696252b9a35ab12573a8d0b26052fe5f5c795e416

Observation 4354b973-b109-4a46-a505-ac2ee905d7ad · outbound

This paper cites Deep learning,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Deep learning,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:13.949296Z

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.

source=pdf_text observed=2026-08-14T11:13:13.824037Z digest=sha256:468d5047e4dee6986e5c3c4a444c81c369d4c8f08cd0c5d49a094d6113ba30b5

Observation 71a9a538-d47f-4b9d-9737-eac4b0dfcaff · outbound

This paper cites Human-level control through deep reinforcement learning,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Human-level control through deep reinforcement learning,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-14T11:13:13.827963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T11:13:13.827963Z digest=sha256:f6545667e63c2da42ef02192910c2c4e4a0527d447897148cfc479e80ace61c4

Observation 15d746ec-2f15-4a40-99eb-a0b646c73c25 · outbound

This paper cites Deformable convolutional neural networks for hyperspectral image classification,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Deformable convolutional neural networks for hyperspectral image classification,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:13.926641Z

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.

source=pdf_text observed=2026-08-14T11:13:13.831881Z digest=sha256:af1f6943e53b5e8619039fc38de9c63dc7936df042145b831146cbef37f3ddc2

Observation ae7dcb21-45af-40d1-9584-1a478bf04e1a · outbound

This paper cites Spectral–spatial classification of hyper- spectral imagery with 3d convolutional neural network,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Spectral–spatial classification of hyper- spectral imagery with 3d convolutional neural network,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:13.913143Z

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.

source=pdf_text observed=2026-08-14T11:13:13.840375Z digest=sha256:2d558e449c9c572088d18f04f4fd55fde3d50b71b633183399de8aaeb8fce19e

Observation 7248429c-bd4d-4152-bb91-99ee4ba1fca2 · outbound

This paper cites Libsvm: a library for support vector machines,.

A Convolutional Neural Network with Mapping Layers for Hyperspectral Image Classification Libsvm: a library for support vector machines,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:13:13.897999Z

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.

source=pdf_text observed=2026-08-14T11:13:13.845300Z digest=sha256:c93322ab993b63eeb313bf7485c71172411b4d8934dcfeb62c030c7eba79c23d

Pith citing papers

No inbound Pith citation observations are available.