Paper Citation Record · LEDGER

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering

As of 19 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2508.18075.

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

pith.paper-citation-record.v1
2508.18075 v1

Coverage vector

measured 44 of 44 reference resolution

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measured 44 of 44 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e816e7f-fd37-4a77-b4c7-79f9adb3bc58 · outbound

This paper cites Deep learning for hyperspectral image classification: An overview,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Deep learning for hyperspectral image classification: An overview,

Reference 1

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Observation ba5bfdf2-98a0-47af-a51b-b605fc50ba86 · outbound

This paper cites Deep learning for remote sensing data: A technical tutorial on the state of the art,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Deep learning for remote sensing data: A technical tutorial on the state of the art,

Reference 2

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Observation 22a4c19a-fa56-4b3c-9b86-ecdfb32b1977 · outbound

This paper cites Deep learning in remote sensing: A comprehensive review and list of resources,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Deep learning in remote sensing: A comprehensive review and list of resources,

Reference 3

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Observation a9a31afd-7cd8-4e37-82e7-e759ceeef5e4 · outbound

This paper cites Principal component analysis for hyper- spectral image classification,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Principal component analysis for hyper- spectral image classification,

Reference 4

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Observation b85c4c7a-bd54-4289-a837-4d57ca0786d5 · outbound

This paper cites Hybridsn: Exploring 3-d–2-d cnn feature hierarchy for hyperspectral image classi- fication,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Hybridsn: Exploring 3-d–2-d cnn feature hierarchy for hyperspectral image classi- fication,

Reference 5

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Observation b8fc976a-18e1-46f0-b133-680144657554 · outbound

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

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Spectral–spatial residual network for hyperspectral image classification: A 3-d deep learning framework,

Reference 6

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Observation 3eff82ed-5256-42dc-a383-6107bd2507fd · outbound

This paper cites Few-shot open- set recognition using meta-learning,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Few-shot open- set recognition using meta-learning,

Reference 7

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Observation 1c67863f-20e3-4678-85fd-f5e002da5d8a · outbound

This paper cites Random forest classifiers for hyperspectral data,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Random forest classifiers for hyperspectral data,

Reference 8

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Observation caaa348d-1c7e-45cb-9ebe-b057b2adc228 · outbound

This paper cites K-nearest neighbor,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering K-nearest neighbor,

Reference 9

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Observation bec9b310-badc-4389-857a-abfda4e6b78c · outbound

This paper cites Classification of hyperspectral remote sensing images with support vector machines,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Classification of hyperspectral remote sensing images with support vector machines,

Reference 10

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Observation fece396c-80c9-4a56-9d53-ff095fe18c8f · outbound

This paper cites Hyperspectral image classification powered by khatri-rao decomposition-based multinomial logistic regression,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Hyperspectral image classification powered by khatri-rao decomposition-based multinomial logistic regression,

Reference 11

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Observation a82e944b-7d57-4147-b56b-b67680b260b4 · outbound

This paper cites Linear versus nonlinear pca for the classification of hyperspectral data based on the extended morphological profiles,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Linear versus nonlinear pca for the classification of hyperspectral data based on the extended morphological profiles,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:52.222714Z

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Observation 8376dff4-fb54-4408-8c7e-734aca436713 · outbound

This paper cites Hyperspectral remote sensing image classifica- tion based on combined svm and lda,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Hyperspectral remote sensing image classifica- tion based on combined svm and lda,

Reference 13

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Observation d43853a8-968c-4cfe-a6e2-19d30485a293 · outbound

This paper cites Spn: Stable prototypical network for few-shot learning-based hyperspectral image classification,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Spn: Stable prototypical network for few-shot learning-based hyperspectral image classification,

Reference 14

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Observation ffdaec7a-e500-48a0-9eeb-93c4497e62db · outbound

This paper cites Category-specific prototype self-refinement contrastive learning for few-shot hyperspectral image classification,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Category-specific prototype self-refinement contrastive learning for few-shot hyperspectral image classification,

Reference 15

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Observation 03c278ba-e5cc-458f-8612-9ed09386e6fd · outbound

This paper cites Graph meta transfer network for heterogeneous few-shot hyperspectral image classification,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Graph meta transfer network for heterogeneous few-shot hyperspectral image classification,

Reference 16

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Observation 0975bc95-7464-4d85-8d3a-7137bc83bfe7 · outbound

This paper cites S3net: Spectral–spatial siamese network for few-shot hyperspectral image classification,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering S3net: Spectral–spatial siamese network for few-shot hyperspectral image classification,

Reference 17

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Observation d5338785-0f37-4783-8286-889e8f2d7183 · outbound

This paper cites A spatial–spectral prototypical network for hyperspectral remote sensing image,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering A spatial–spectral prototypical network for hyperspectral remote sensing image,

Reference 18

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Observation c27758fc-5a08-4240-88c2-413f58c619f6 · outbound

This paper cites Hyperspectral image classification based on two-phase relation learning network,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Hyperspectral image classification based on two-phase relation learning network,

Reference 19

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Observation 669e2431-4cf2-4f73-8ce4-ddfbd6eee129 · outbound

This paper cites Generalizing from a few examples: A survey on few-shot learning,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Generalizing from a few examples: A survey on few-shot learning,

Reference 20

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Observation 60f811de-f775-41e8-9716-035c983a69e2 · outbound

This paper cites Probability models for open set recognition,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Probability models for open set recognition,

Reference 21

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Observation 0a395daf-9085-41d7-9c04-54d7b2c2e652 · outbound

This paper cites The extreme value machine,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering The extreme value machine,

Reference 22

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Observation 20463a13-40a0-49f7-b133-472160722efb · outbound

This paper cites Spectral-spatial latent reconstruction for open-set hyperspectral image classification,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Spectral-spatial latent reconstruction for open-set hyperspectral image classification,

Reference 23

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Observation e3f9ec01-322e-441a-a281-e63b808d99fa · outbound

This paper cites Few-shot hyperspectral image classi- fication with unknown classes using multitask deep learning,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Few-shot hyperspectral image classi- fication with unknown classes using multitask deep learning,

Reference 24

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Observation bc20cbcf-4e9e-414f-9cce-134ac31c8387 · outbound

This paper cites Few-shot open-set recognition of hyperspectral images with outlier calibration network,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Few-shot open-set recognition of hyperspectral images with outlier calibration network,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.930081Z

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Observation 088a1076-4b93-49dc-bcf5-01535bfe1232 · outbound

This paper cites P-odn: Prototype-based open deep network for open set recognition,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering P-odn: Prototype-based open deep network for open set recognition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.889961Z

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Observation e5a353c6-42c5-4eb1-ad57-01ac3cfb892c · outbound

This paper cites Spectral-spatial mlp- like network with reciprocal points learning for open-set hyperspectral image classification,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Spectral-spatial mlp- like network with reciprocal points learning for open-set hyperspectral image classification,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.864740Z

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Observation 36aed9cf-f5cc-40c8-8173-d9b6848eaf92 · outbound

This paper cites Learning to discover novel visual categories via deep transfer clustering,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Learning to discover novel visual categories via deep transfer clustering,

Reference 28

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Observation e419aeaf-03da-4274-9e54-b02502a9d4ca · outbound

This paper cites Autonovel: Automatically discovering and learning novel visual cat- egories,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Autonovel: Automatically discovering and learning novel visual cat- egories,

Reference 29

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Observation 5ee7cb0e-06a1-4fe0-b89c-296f8602be75 · outbound

This paper cites Learning a neural-network-based repre- sentation for open set recognition,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Learning a neural-network-based repre- sentation for open set recognition,

Reference 30

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Observation c3f8ee7b-7bdb-4f7f-9028-d51c3814d239 · outbound

This paper cites Open-World Semi-Supervised Learning.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Open-World Semi-Supervised Learning

Reference 31

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This paper cites Openldn: Learning to discover novel classes for open-world semi- supervised learning,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Openldn: Learning to discover novel classes for open-world semi- supervised learning,

Reference 32

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Observation 957a39b8-968b-468b-9330-1049e9ec53e4 · outbound

This paper cites Generalized category discovery,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Generalized category discovery,

Reference 33

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Observation 073f6025-9637-45f9-bea8-77e6121f8d8a · outbound

This paper cites Prototypical networks for few-shot learning,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Prototypical networks for few-shot learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:51.214736Z

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Observation 4283ec0e-eb34-4f83-b66c-b8c709993513 · outbound

This paper cites Learning to compare: Relation network for few-shot learning,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Learning to compare: Relation network for few-shot learning,

Reference 35

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Observation 57380f36-2f2e-4130-a7c8-51e564beffd6 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Model-agnostic meta-learning for fast adaptation of deep networks,

Reference 36

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Observation 58120478-4602-49fb-b226-39040ae82cc1 · outbound

This paper cites Deep few-shot learning for hyperspectral image classification,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Deep few-shot learning for hyperspectral image classification,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.872997Z

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Observation 27a1ef87-bea2-46dc-92e6-0252a4743840 · outbound

This paper cites The hungarian method for the assignment problem,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering The hungarian method for the assignment problem,

Reference 38

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Observation 6aa7394f-ae9f-4044-93fa-7918687715b5 · outbound

This paper cites Zhong, X.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Zhong, X

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.621757Z

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Observation 8bc5b528-a7a1-40cd-8393-12dabf7082e9 · outbound

This paper cites Hyperspectral remote sensing with micro-uavs: from observation and processing to application,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Hyperspectral remote sensing with micro-uavs: from observation and processing to application,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.504074Z

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Observation f302a4e2-28f6-40ee-89ee-53bcffb26cd0 · outbound

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

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Deep feature extraction and classification of hyperspectral images based on convolutional neural networks,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.393720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28c922c8-2033-4548-a570-078a99004d80 · outbound

This paper cites Going deeper with contextual cnn for hyper- spectral image classification,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Going deeper with contextual cnn for hyper- spectral image classification,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.244749Z

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Observation 50bdf7cb-d924-4713-909b-ae205bcbe65a · outbound

This paper cites Morgan: Meta-learning- based few-shot open-set recognition via generative adversarial network,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Morgan: Meta-learning- based few-shot open-set recognition via generative adversarial network,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:50.114755Z

Source-reported events for the cited work

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Observation d2abd44a-0956-4ee0-aab3-be214b34a3b9 · outbound

This paper cites Extreme value meta-learning for few-shot open-set recognition of hyperspectral im- ages,.

Few-shot Unknown Class Discovery of Hyperspectral Images with Prototype Learning and Clustering Extreme value meta-learning for few-shot open-set recognition of hyperspectral im- ages,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:42:49.974743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

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