Overview

Hyperspectral imaging measures each pixel at many narrow, often contiguous wavelengths, helping distinguish materials and estimate properties that RGB images can miss. Research spans sensor design, reconstruction from compressed or sparse measurements, restoration and super-resolution, and tasks such as classification, unmixing, anomaly detection, tracking, and atmospheric or material retrieval. Methods range from physical and mixing models to optimization-based unfolding, CNNs, Transformers, state-space models, diffusion, self-supervised learning, and foundation models that combine spectral signatures with spatial, temporal, or 3D context. A central challenge is preserving spectral fidelity while improving resolution and working with noisy or incomplete data, few labels, and changing sensors or scenes, making robust benchmarks and real-world validation important.

Latest papers

CardsList

139 papers10 papers in the last four weeks, down 17% on the four weeks before. 0.1% of all new papers.

  1. Homology Features for X-Ray Hyperspectral Images Segmentation

    Nov 4, 2026Fethi Harkat, Guillaume Gey, Valérie Perrier +1Hyperspectral Imaging

  2. Many Pixels, One Composition: Self-Supervised Spectra for Specimen-Level Prediction

    Nov 4, 2026Eleftheria Tetoula-Tsonga, George Arvanitakis, Theodoros GiannakasHyperspectral ImagingMaterials Property Prediction

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

    Nov 2, 2026Xiang ZhaoHyperspectral Image ClassificationHyperspectral Imaging

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

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

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

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

  6. Hyperspectral Unmixing using a Structured Linear Mixing Model with Additive Spectral Variability

    Oct 26, 2026Salah Eddine Brezini, Yannick Deville, Moussa Sofiane Karoui +2Hyperspectral UnmixingHyperspectral Imaging

  7. SCDM-HTD: Spectral-Wise Conditional Diffusion Model for Hyperspectral Target Detection

    Oct 23, 2026Dunbin Shen, Wenfeng Kong, Jianjun Liu +2Hyperspectral ImagingConditional Diffusion Models

  8. Material and Defocus Cues for Occluded Object Localization in Single Hyperspectral Images: An Exploratory Study

    Oct 15, 2026Ali Zia, Jun ZhouObject DetectionHyperspectral Imaging

  9. HyperLoop: Hyperspectral-Assisted Loop Closure Detection in 3D-SLAM for Planetary Exploration

    Oct 14, 2026Annie Bhalla, Dennis Rotondi, Riccardo Giubilato +2Loop Closure DetectionSpace Robotics

  10. Spectral World Renderer: Unified 3D Hyperspectral Unmixing

    Oct 14, 2026Chia-Ming Lee, Yu-Jou Hsiao, Ming-Ching Chang +3Hyperspectral UnmixingSpectral Unmixing

  11. 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

  12. HyperSAM: A Promptable Foundation Model for Hyperspectral Remote Sensing

    Sep 29, 2026Li Pang, Xinqiao Wu, Jing Yao +5Synthetic Data AugmentationVision Foundation Model Adaptation

  13. Spectral Super-Resolution using Spatial-Spectral Residual Operator Networks

    Sep 28, 2026Seokhyun ChinHyperspectral Image Super-ResolutionHyperspectral Imaging

  14. Resource-Aware Parameter-Efficient Model Adaptation for Onboard High-Dimensional Data

    Sep 27, 2026Qiyang Zhang, Xinhao Li, Lei Shi +4Fine-TuningLow-Rank Adaptation

  15. Implicit Neural Representation for Hyperspectral Video Compression

    Sep 25, 2026Alfredo Scalera, Paul Murray, Jaime ZabalzaVideo CompressionNeural Video Compression

  16. Band-Selection Stability and Semantic Segmentation Performance: A Study on Hyperspectral City

    Sep 25, 2026Jiarong Li, Imad Ali Shah, Enda Ward +3Hyperspectral ImagingRemote Sensing Image Segmentation

  17. Passive LWIR Hyperspectral Ranging via Transmittance Extraction and Distance Alignment

    Sep 24, 2026Zhihe Chen, Chen Fan, Shuo Liu +4Thermal ImagingRemote Sensing

  18. Benchmarking Hyperspectral Foundation Models for Hyperspectral Unmixing

    Sep 23, 2026Edgard Dabier, Christophe Kervazo, Pietro Gori +1Hyperspectral ImagingHyperspectral Unmixing

  19. Compact Low-Cost Hyperspectral Imaging via Angular-to-Spectral Diversity Conversion

    Sep 20, 2026Kazuma Fujiwara, Takuya Funatomi, Kazuya Kitano +2Hyperspectral ImagingComputational Imaging

  20. Interpretable Hyperspectral Unmixing Framework with Fixed Endmember Prior and Structured Residual Refinement

    Sep 8, 2026Ziyi Guan, Jianping Zhang, Qian LiuDeep Image PriorHyperspectral Imaging

  21. Hyperspectral Anomaly Detection via Group Sparse Low-Rank Tensor Factorization With Automatic Anomaly Grouping

    Sep 8, 2026Quan Yu, Yu-Hong Dai, Xiongjun ZhangLow-Rank Matrix DecompositionTensor Decomposition

  22. 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

  23. Methane Detection On Board Satellites from Unorthorectified Imagery

    Sep 4, 2026Luca Marini, Maggie Chen, Hala Lamdouar +3Remote SensingRemote Sensing Image Segmentation

  24. On-board ML for Trace Gas detection in Imaging Spectroscopy data

    Sep 3, 2026Vít Růžička, Adam Chlus, Andrew Thorpe +1Remote SensingOn-Device Inference

  25. Agentic Multimodal Models for Environmental Hyperspectral Unmixing

    Sep 1, 2026Michał Cholewa, Luca Ciampi, Nicola Messina +2Hyperspectral ImagingHyperspectral Unmixing

  26. Lightweight Interpretable RGB-Guided Hyperspectral Super-Resolution under Real Cross-resolution Misalignment

    Sep 1, 2026Mohamad Jouni, Aurélien Godet, Mauro Dalla MuraHyperspectral Image Super-ResolutionHyperspectral Imaging