Paper Citation Record · LEDGER

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection

As of 12 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2411.14109.

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

pith.paper-citation-record.v1
2411.14109 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:33:38.528211Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy21
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 28b4b1fd-1284-44e5-afbe-ba4326847b53 · outbound

This paper cites CDFormer: A hyperspectral image change detection method based on Transformer encoders,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection CDFormer: A hyperspectral image change detection method based on Transformer encoders,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.715666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f4fdc315-4619-4a03-a599-e9faeff781c4 · outbound

This paper cites Detection of initial damage in Norway spruce canopies using hyperspectral airborne data,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection Detection of initial damage in Norway spruce canopies using hyperspectral airborne data,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.708222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f882cd34-d516-4a69-9a70-f26658da5405 · outbound

This paper cites A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection A review of change detection in multitemporal hyperspectral images: Current techniques, applications, and challenges,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.700305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4befa7c8-0e08-4dee-86e2-3eb535955e21 · outbound

This paper cites Fine-grained classification of ur- ban functional zones and landscape pattern analysis using hyperspectral satellite imagery: A case study of Wuhan,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection Fine-grained classification of ur- ban functional zones and landscape pattern analysis using hyperspectral satellite imagery: A case study of Wuhan,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.692010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0ffe64a1-ea3e-4f4b-a785-40f8d5347265 · outbound

This paper cites A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection A theoretical framework for unsupervised change detection based on change vector analysis in the polar domain,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.683353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 591cabf9-10a6-49d3-918f-1d0f6d176636 · outbound

This paper cites Three-order Tucker decomposition and reconstruction detector for unsupervised hyperspectral change de- tection,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection Three-order Tucker decomposition and reconstruction detector for unsupervised hyperspectral change de- tection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.675880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3912130f-736d-4e6a-a7f6-c35860d268f8 · outbound

This paper cites Pixel-based and object-oriented change detection analysis using high-resolution imagery,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection Pixel-based and object-oriented change detection analysis using high-resolution imagery,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.669588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b58b7bde-c4ce-49ae-8018-0274bb725d44 · outbound

This paper cites The regularized iteratively reweighted mad method for change detection in multi-and hyperspectral data,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection The regularized iteratively reweighted mad method for change detection in multi-and hyperspectral data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.663283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3dc136d6-05e1-47af-ad64-a6df496af0ed · outbound

This paper cites Hyperspectral change detection: An ex- perimental comparative study,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection Hyperspectral change detection: An ex- perimental comparative study,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.656397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation aa7f78b9-d5f2-4798-a0a2-9be104f1e724 · outbound

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

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection Gradient-based learning applied to document recognition,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T15:33:38.497145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f48703b8-f3cb-4f7c-9b03-cbbb23bb86ba · outbound

This paper cites Unsupervised deep change vector analysis for multiple-change detection in VHR images,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection Unsupervised deep change vector analysis for multiple-change detection in VHR images,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.645082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6088987b-ff31-43de-bc79-1728ef406563 · outbound

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

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection An image is worth 16x16 words: Transformers for image recognition at scale,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.637152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a6929858-daea-4df4-af87-87e44c1243ed · outbound

This paper cites End-to-end object detection with Transformers,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection End-to-end object detection with Transformers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.629422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 223acad4-fa48-40d4-8a58-ab93208f258b · outbound

This paper cites CSANet: Cross-temporal interaction symmetric attention network for hyperspectral image change detection,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection CSANet: Cross-temporal interaction symmetric attention network for hyperspectral image change detection,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.620741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 11b65d38-f9f5-427e-b295-14c7813f4166 · outbound

This paper cites VTC-LFC: Vision Transformer compression with low-frequency components,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection VTC-LFC: Vision Transformer compression with low-frequency components,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.611050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 85a5fde0-c3f7-487f-8c1c-f01322bbbc2a · outbound

This paper cites GETNET: A general end-to-end 2-D CNN framework for hyperspectral image change detection,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection GETNET: A general end-to-end 2-D CNN framework for hyperspectral image change detection,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.602379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f62c4886-bb7a-461c-b05f-1664284c46ac · outbound

This paper cites Semi-supervised change detection method for multi-temporal hyperspectral images,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection Semi-supervised change detection method for multi-temporal hyperspectral images,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.592827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 00b19f4c-2bfa-41c3-97f6-49725ff72827 · outbound

This paper cites Ssa-siamnet: Spectral–spatial-wise attention-based siamese network for hyperspectral image change detection,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection Ssa-siamnet: Spectral–spatial-wise attention-based siamese network for hyperspectral image change detection,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.583285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e17098cc-ff32-4fe7-9622-879918b59775 · outbound

This paper cites SSCNN-S: A spectral-spatial convolution neural network with Siamese architecture for change detection,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection SSCNN-S: A spectral-spatial convolution neural network with Siamese architecture for change detection,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.574299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d34631ab-7b61-4738-a1b5-79579c254aca · outbound

This paper cites Spectral-spatial-temporal Transformers for hyperspectral image change detection,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection Spectral-spatial-temporal Transformers for hyperspectral image change detection,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.567281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a95ea6e5-0794-4e92-b039-3071f57e40a2 · outbound

This paper cites CSDBF: Dual-branch frame- work based on temporal–spatial joint graph attention with complement strategy for hyperspectral image change detection,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection CSDBF: Dual-branch frame- work based on temporal–spatial joint graph attention with complement strategy for hyperspectral image change detection,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.559435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dc68eb6d-52ff-4ab5-9f47-02d6a9ec94a5 · outbound

This paper cites GTMSiam: Gated transmitting-based multiscale siamese network for hyperspectral image change detection,.

Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection GTMSiam: Gated transmitting-based multiscale siamese network for hyperspectral image change detection,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:33:38.551121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.