Hyperspectral Image Classification

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Overview

Hyperspectral image classification uses many narrow spectral bands, often alongside spatial context, to distinguish materials and land-cover types in settings such as agriculture, forests, and urban scenes. Common approaches include 2D and 3D CNNs, Transformers and Mamba-style sequence models, as well as spectral unmixing, graph methods, and fusion with LiDAR; limited labels motivate augmentation, active learning, and domain adaptation. Work also focuses on compact models and pretrained foundation models to reduce computation or labeled-data needs. A central tension is that high scores on benchmarks such as Indian Pines, Pavia, and Salinas may not transfer across scenes, and random pixel or patch splits can inflate results, making spatially disjoint evaluation and reliable cross-scene generalization important open challenges.

Latest papers

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58 papers7 papers in the last four weeks, up 17% on the four weeks before. 0.0% of all new papers.

  1. Shared-Pattern Collaborative Network for Multi-Source Remote Sensing Data Classification

    Nov 2, 2026Chenfang Yang, Chuanzheng Gong, Feng Gao +2Remote SensingMultimodal Classification

    State Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao 266100, China. · Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762 USA.

  2. Spectral-spatial vision test-time training for hyperspectral image classification

    Nov 2, 2026Xiang ZhaoHyperspectral Image ClassificationHyperspectral Imaging

    College of Mathematical Sciences, Harbin Engineering University, 145 Nantong Street, Nangang District, Harbin 150001, China

  3. SpecUltra: A Unified Foundation Model for Heterogeneous Spectral Images

    Nov 1, 2026Weili Kong, Baisen Liu, Xiaojun Bi +1Hyperspectral ImagingVision Foundation Models

    School of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China · School of Electronic and Information Engineering, Heilongjiang Institute of Technology, Harbin 150050, China · School of Information Engineering, Minzu University of China, Beijing 100081, China +1

  4. Spatial Uncertainty Analytics for Budget-Limited Inspection of Hyperspectral Scenes

    Oct 31, 2026Ritesh Sharma, Yuichi MotaiUncertainty SamplingActive Learning

    Virginia Commonwealth University, Richmond, Virginia, USA

  5. Spectral Haar Binarizer: Compact Boolean Contrast Representations for Hyperspectral Classification

    Oct 30, 2026Michał Romaszewski, Przemysław GłombHyperspectral Image ClassificationHyperspectral Imaging

    Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100, Gliwice, Poland

  6. See the Future, Classify the Present: Stochastic Latent World Modeling for Hyperspectral Images

    Oct 19, 2026Muhammad Ahmad, Gemine Vivone, Ronny Hänsch +3Hyperspectral Image ClassificationPredictive Representation Learning

    Khanpur Institute of Technology, Khanpur 64100, Pakistan · National Research Council - Institute of Methodologies for Environmental Analysis (CNR-IMAA), 85050 Tito, Italy · Department of SAR Technology, German Aerospace Center (DLR), Germany +2

  7. SPECTRA-VLA: Base-Fine Hyperspectral Token Transfer at Frozen Vision-Language-Action Interfaces

    Oct 14, 2026Chih-Chung HsuVision-Language-Action ModelsHyperspectral Image Classification

    National Yang Ming Chiao Tung University, Taiwan

  8. AI-Enhanced Hyperspectral Imaging for Intraoperative Detection of Low-Grade Glioma: A Clinical Study

    Oct 13, 2026Siri Willems, Ishika Jain, Jens De Winne +9Brain Tumor ClassificationHyperspectral Imaging

    imec, Kapeldreef 75, Leuven, 3001, Belgium · Department of Computer Science UAntwerp-imec, Sint-Pietersvliet 7, Antwerp, 2000, Belgium · Department of Telecommunications and Information Processing, IPI-imec, Sint-Pietersnieuwestraat 41, Ghent, 9000, Belgium +3

  9. Data Leakage in Patch-Based Hyperspectral Image Classification: Quantifying the Impact of Spatial Overlap

    Oct 6, 2026Mohammed Q. AlkhatibData ContaminationHyperspectral Image Classification

    College of Engineering and IT, University of Dubai, Dubai, 14143, UAE

  10. Prototype-Rule Neurosymbolic Regularization for Rank-Constrained Tensor Neural Networks under Label Scarcity

    Sep 30, 2026Eftychios Protopapadakis, Konstantinos Makantasis, Konstantinos M. GiannoutakisTensor NetworksPrototype Learning

    Department of Applied Informatics, University of Macedonia, 156 Egnatia Street, 54636 Thessaloniki, Greece · Department of Artificial Intelligence, Faculty of Information & Communication Technology, University of Malta, Msida, Malta

  11. A PyTorch Library for Hyperspectral Image Models: Technical Report

    Sep 30, 2026Tanishq Rachamalla, Aryan Das, Srishti Kaushik +1Remote Sensing BenchmarksHyperspectral Image Classification

    Department of Information Technology Siddhartha Academy of Higher Education Vijayawada, Andhra Pradesh 521108, India · Department of Computer Science and Engineering Vellore Institute of Technology Bhopal, Madhya Pradesh 466114, India · Department of Computer and Information Sciences Indira Gandhi National Open University New Delhi 110068, India +1

  12. Token Clustering and Semantic Sequence Mamba for Hyperspectral Image Classification

    Sep 23, 2026Yimin Zhu, Mahmood Elahi, Lincoln Linlin XuVisual SSMsHyperspectral Image Classification

    Department of Geomatics Engineering, University of Calgary, Canada · Department of Electrical and Software Engineering, University of Calgary, Canada

  13. Dimensionality reduction for AI based hyperspectral image classification based on XAI

    Sep 16, 2026Vladimir Zeljković, Branka Stojanović, Harald Ganster +1Hyperspectral Image ClassificationDimensionality Reduction

    University of Belgrade School of Electrical Engineering · JOANNEUM RESEARCH Forschungsgesellschaft mbH

  14. Toward Interpretable Multimodal Fusion: Heat Conduction Modeling for Hyperspectral and LiDAR Joint Classification

    Sep 10, 2026Kan Wei, Jiahui Cui, Jing Yao +3Multimodal Model InterpretabilityHyperspectral Image Classification

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China · Key Laboratory of Target Cognition and Application Technology, Beijing 100190, China · School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100190, China +3

  15. Dimensionality Reduction for Hyperspectral Image Classification

    Sep 9, 2026Mohamed Cherifi, Ammar Mesloub, Mohammed Nabil El Korso +2Dimensionality ReductionHyperspectral Image Classification

    Laboratoire Traitement du Signal Ecole Militaire Polytechnique Bordj-El-Bahri, Alger, 16111, Alg´erie · Laboratoire Antennes et Dispositifs Micro-Ondes Ecole Militaire Polytechnique Bordj-El-Bahri, Alger, 16111, Alg´erie · Universit´e Paris-Saclay Saclay, France +1

  16. AGSA-Net: Abundance-Guided Self-Attention Network for Spectral Unmixing-Aware Hyperspectral Remote Sensing Image Classification

    Sep 6, 2026Nafisa Anjum, Satavisa Dey Borno, Ananna Saha +4Hyperspectral UnmixingHyperspectral Image Classification

    North South University, Dhaka, Bangladesh · Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh

  17. Ten Architectures, One Error: Shared Failure Modes in Hyperspectral Classification under Spatially Disjoint Evaluation

    Sep 1, 2026Ehsan Faghih, Fatemeh Ashrafi, Marguerite Moore +1Data ContaminationRemote Sensing Benchmarks

    North Carolina State University, Wilson College of Textiles Raleigh, NC, USA

  18. MWIR-4-Plastic: The Identification of Complex End-of-Life Industrial Plastic using Mid-wave Infrared Hyperspectral Imaging and Machine Learning

    Aug 28, 2026Elias Arbash, Andréa de Lima Ribeiro, Filipa Simões +9ClassificationHyperspectral Image Classification

    Helmholtz-Zentrum Dresden-Rossendorf (HZDR) - Helmholtz Institute Freiberg for Resource Technology (HIF), Freiberg, Germany · University of Antwerp, Antwerp, Belgium · Remote Sensing and Geoinformatics, Freie Universität Berlin, Berlin, Germany +2

  19. Convolution-Free Holistic Multivariance Decomposition Layer for Efficient Hyperspectral Image Classification Tensor Networks

    Aug 17, 2026Süha Tuna, Ülker BaşarHyperspectral Image ClassificationHyperspectral Imaging

    Istanbul Technical University, Informatics Institute, Maslak 34469, İstanbul, Türkiye · Istanbul Esenyurt University, Faculty of Business and Management Sciences, Department of Management Information Systems, Esenyurt, 34517, İstanbul, Türkiye

  20. Domain-Aware Lightweight Spectral-Grouped Convolutions for Hyperspectral Fish Freshness Classification

    Aug 12, 2026Kazi Nabiul Alam, Pooneh Bagheri Zadeh, Akbar Sheikh-AkbariRepresentation LearningHyperspectral Image Classification

    School of Built Environment, Engineering, and Computing, Leeds Beckett University. Leeds LS6 3QS, United Kingdom.

  21. Topology-Aware Neighborhood Learning for Source-Free Cross-Scene Hyperspectral Image Classification

    Aug 6, 2026Qingmei Li, Juepeng Zheng, Jiarui Zhang +2Source-Free Domain AdaptationDomain Adaptation

    Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · School of Artificial Intelligence, Sun Yat-Sen University, Zhuhai, China · Faculty of Geosciences and Engineering, Southwest Jiaotong University, Chengdu, China +4

  22. Fermat Active Laplace Learning for Semi-Supervised Hyperspectral Image Classification

    Aug 3, 2026Vutichart Buranasiri, James M. MurphyActive LearningGraph-Based Semi-Supervised Learning

    Department of Mathematics Tufts University Medford, MA 02155, USA

  23. Mapping melliferous tree species in Kenya via one-class classification with hyperspectral unsupervised domain adaptation

    Aug 3, 2026Zhaozhi Luo, Janne Heiskanen, Ilja Vuorinne +6Unsupervised Domain AdaptationTree Species Classification

    Department of Geosciences and Geography, University of Helsinki, P.O. Box 64, 00014 Helsinki, Finland · Institute for Atmospheric and Earth System Research, University of Helsinki, P.O. Box 4, 00014 Helsinki, Finland · Finnish Meteorological Institute, P.O. Box 503, 00101 Helsinki, Finland +3

  24. PNEC-Mamba: Prototype-Guided Positive-Negative Evidence Calibration for Hyperspectral Image Classification

    Aug 3, 2026Mingzhen Xu, Can Xu, Di Wang +2Prototype-Based ClassificationHyperspectral Image Classification

  25. Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction

    Aug 2, 2026Ahmed Baha Ben Jmaa, Faten Chaieb, Anna FabijańskaAgricultural Image AnalysisHyperspectral Image Classification

    1Efrei Research Lab, Paris Panthéon-Assas University, Paris, France · Institute of Applied Computer Science, Lodz University of Technology, Łódź, Poland

  26. LegoQ: Density-Matrix Representation Learning with Spectral-Spatial State Transitions for Hyperspectral Classification

    Jul 31, 2026Weijia Cao, Xiaofei Yang, Fu Wang +2Representation LearningQuantum-Inspired ML

  27. MSCM-net: A hyperspectral image classiffcation method based on multi-scale convolution and Mamba

    Jul 30, 2026Jianjun Chen, Linlin Wang, Lifang Chang +4Channel AttentionMulti-Scale Feature Fusion

    Qingdao University of Technology, Qingdao, 266520, China · Nanyang Technological University, Singapore, 639798, Singapore

  28. HyperImageNet: A Large-Scale High-Spatial Resolution Hyperspectral Imagery Classification Benchmark

    Jul 23, 2026Chuguang Zeng, Jingtao Li, Yinhe Liu +1Remote Sensing Image SegmentationLand Cover Classification

    Wuhan University 430072 Wuhan, China

  29. BCG-Former: Toward Pareto-Efficient Hyperspectral Image Classification via Band-Contextual Gating

    Jul 17, 2026Gaurav Sharma, Eungjoo LeeEfficient Neural Network InferenceHybrid CNN-Transformer Architectures

    College of Information Science, University of Arizona, Tucson, AZ, USA · Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ, USA

  30. DAPGNet: Dynamic Adaptive Physics-Guided Graph Diffusion Network for Hyperspectral Image Classification

    Jul 16, 2026Pengkun Wang, Weijia Cao, Ning Wang +1Graph Structure LearningHyperspectral Imaging

    National Engineering Laboratory for Satellite Remote Sensing Applications, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China · Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China · Guangzhou University, Guangzhou 510006, China