Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T13:50:12.658794Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2502.01986.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-09T13:50:12.658794Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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
36 of 36 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f14135cc-1236-4a72-9075-5b70274d8a7b · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Discrete cosine transform
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Hyperspectral image resolution enhancement using high- resolution multispectral image based on spectral unmixing
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Deep feature extraction and classification of hyperspectral images based on convolutional neural net- works
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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Observation 763938fb-feea-4608-b43c-01895957882f · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Recent ad- vances on spectral–spatial hyperspectral image classifica- tion: An overview and new guidelines
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Spectralgpt: Spectral remote sensing foun- dation model
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Observation 09d1518f-485c-451f-ae42-f0c99e6e855b · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification 3D Gabor convolu- tional neural network for hyperspectral image classification
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Observation 8beea080-7c50-42e4-b2b2-93293c78ea76 · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Spec- tral–spatial hyperspectral image segmentation using sub- space multinomial logistic regression and markov random fields
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Observation 76c0776c-5eae-4e3d-a1a8-6143de838265 · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Latent diffusion enhanced rect- angle transformer for hyperspectral image restoration
Reference 12
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Observation b565277d-c7ff-4dd6-a4d5-bf4ea9e6aaa9 · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Mambahsi: Spatial-spectral mamba for hyperspectral image classification
Reference 13
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Observation 49ae90af-654a-46ae-a570-5d680ba9df42 · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Deep learning classifiers for hyperspectral imaging: A review
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Observation b0ea1ef5-bc37-41eb-8fb0-b2f350438cd3 · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification A dual frequency transformer network for hyperspectral image classification
Reference 15
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Observation a7f822e3-f570-4f56-a1f7-cd2496d88049 · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification HybridSN: Exploring 3D–2D CNN Feature Hierarchy for Hyperspectral Image Classification
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Spectral–spatial morpho- logical attention transformer for hyperspectral image clas- sification
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Dct-mask: Discrete cosine transform mask rep- resentation for instance segmentation
Reference 19
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Spectral–spatial feature tokenization transformer for hyper- spectral image classification
Reference 20
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Observation a61f6d30-50b6-4b0f-ae0d-ef57eaa11448 · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Spectral variability of remotely sensed target materials: Causes, models, and strategies for mitigation and robust exploitation
Reference 21
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Observation f35ca3b3-fc2b-4d67-bc9b-05c26d4dc51f · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Har- monic networks for image classification
Reference 22
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Observation 391431c2-48e9-4320-bb42-c20438a0b840 · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Harmonic convolutional networks based on discrete cosine transform
Reference 23
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Observation f411ddcd-86d4-42a7-9ab1-de75cb71eadc · outbound
DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Frequency domain- based features for hyperspectral image classification
Reference 24
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification An efficient hy- perspectral image classification method using deep fusion of 3D discrete wavelet transform and CNN
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Exploiting Frequency Correlation for Hyperspectral Image Reconstruction
Reference 27
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Hyperspectral image classification with deep learning models
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Synergistic 2D/3D con- volutional neural network for hyperspectral image classifica- tion
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Hy- perspectral image transformer classification networks
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification SpectralMamba: Efficient Mamba for Hyperspectral Image Classification
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Wave-vit: Unifying wavelet and transformers for visual representation learning
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Three-dimensional frequency domain transform network for cross-scene hyperspectral image classification
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Deep learning for remote sensing data: A technical tutorial on the state of the art
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Mamba-in-Mamba: Cen- tralized Mamba-Cross-Scan in Tokenized Mamba model for hyperspectral image classification
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DCT-Mamba3D: Spectral Decorrelation and Spatial-Spectral Feature Extraction for Hyperspectral Image Classification Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
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No inbound Pith citation observations are available.