Hyperspectral Image Classification

Latest papers 50

5 papers in the last four weeks, down 17% on the four weeks before. 0.0% of all new papers.

Implicit spatial-frequency fusion of hyperspectral and lidar data via kolmogorov-arnold networks
May 14, 2026Zekun Long, Judy X. Yang, Jing Wang +3Remote Sensing Hyperspectral Image Classification
School of Information and Communication Technology, Griffith University, Nathan, Australia · School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, Australia
SoDa2: Single-Stage Open-Set Domain Adaptation via Decoupled Alignment for Cross-Scene Hyperspectral Image Classification
May 5, 2026Yiwen Liu, Minghua Wang, Jing Yao +2Unsupervised Domain Adaptation Domain Adaptation
Institute of Robotics and Automatic Information System (IRAIS), College of Artificial Intelligence, and the Tianjin Key Laboratory of Intelligent Robotics (tjKLIR), Nankai University, Tianjin 300071, China · Aerospace Information Research Institute, Chinese Academy of Sciences, 100094 Beijing, China · Institute of Methodologies for Environmental Analysis (CNR-IMAA), National Research Council, 85050 Tito, Italy
Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering
Apr 30, 2026Peifu Liu, Tingfa Xu, Jie Wang +3Soft-Label Learning Hyperspectral Imaging
Beijing Institute of Technology, Beijing 100081, China · Beijing Institute of Technology Chongqing Innovation Center, Chongqing 401135, China · Key Laboratory of Photoelectronic Imaging Technology and System, Ministry of Education of China, Beijing 100081, China
Representative Spectral Correlation Network for Multi-source Remote Sensing Image Classification
Apr 30, 2026Chuanzheng Gong, Feng Gao, Junyan Lin +2Remote Sensing Image Understanding Feature Selection
State Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao 266100, China · Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China · Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS 39762 USA
High-Dimensional Noise to Low-Dimensional Manifolds: A Manifold-Space Diffusion Framework for Degraded Hyperspectral Image Classification
Apr 29, 2026Boxiang Yang, Ning Chen, Xia Yue +6Manifold Learning Hyperspectral Image Classification
Institute of Remote Sensing and Geographic Information System, Peking University, Beijing 100871, China · Beijing Key Laboratory of Spatio-temporal Perception and Urban Resilience, Peking University, Beijing 100871, China · School of Computer Science and Engineering, Central South University, Changsha 410083, China +4
MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification
Apr 28, 2026Mohammed Q. Alkhatib, Ali JamaliHyperspectral Imaging Efficient Attention
aCollege of Engineering and IT, University of Dubai, Dubai, 14143, UAE · bDepartment of Geography, Simon Fraser University, 8888 University Dr, Burnaby, BC V5A 1S6, Canada
A Synergistic CNN-Transformer Network with Pooling Attention Fusion for Hyperspectral Image Classification
Apr 26, 2026Peng Chen, Wenxuan He, Feng Qian +2Hybrid CNN-Transformer Architectures Transformer Attention
College of Engineering, Shantou University, Shantou, 515063, Guangdong, China · School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China · Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, Jilin, China +2
ConvVitMamba: Efficient Multiscale Convolution, Transformer, and Mamba-Based Sequence modelling for Hyperspectral Image Classification
Apr 20, 2026Mohammed Q. AlkhatibHybrid CNN-Transformer Architectures Hyperspectral Image Classification
College of Engineering and IT, University of Dubai, Dubai 14143, United Arab Emirates
From Articles to Canopies: Knowledge-Driven Pseudo-Labelling for Tree Species Classification using LLM Experts
Apr 17, 2026Michał Romaszewski, Dominik Kopeć, Michał Cholewa +6Tree Species Classification Graph-Based Semi-Supervised Learning
Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, Gliwice, 44-100, Poland · University of Lodz, Narutowicza 68, 90-136, Lodz, Poland · MGGP Aero, Kaczkowskiego 6, 33-100, Tarnów, Poland +1
SSFT: A Lightweight Spectral-Spatial Fusion Transformer for Generic Hyperspectral Classification
Apr 17, 2026Alexander Musiat, Nikolas Ebert, Oliver WasenmüllerRepresentation Learning Hyperspectral Imaging
Mannheim University of Applied Sciences, Germany
Unmixing-Guided Spatial-Spectral Mamba with Clustering Tokens for Hyperspectral Image Classification
Apr 10, 2026Yimin Zhu, Lincoln Linlin XuHyperspectral Image Classification Hyperspectral Imaging
Department of Geomatics Engineering, University of Calgary, Canada
Cosine-Normalized Attention for Hyperspectral Image Classification
Apr 2, 2026Muhammad Ahmad, Manuel MazzaraHyperspectral Image Classification Transformer Attention
SDAIA-KFUPM, Joint Research Center for Artificial Intelligence (JRCAI), King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia · Institute of Software Development and Engineering, Innopolis University, Innopolis, 420500, Russia
Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
Mar 25, 2026Fatemeh Fazel Hesar, Mojtaba Raouf, Amirmohammad Chegeni +5Remote Sensing Hyperspectral Image Classification
Leiden Institute of Advanced Computer Science, Leiden University, P.O. Box 9504, 2300 RA Leiden, The Netherlands · ILEWG LUNEX-EuroSpaceHub EuroMoonMars Earth-Space Innovation Wassenaar, Leiden & Noordwijk, The Netherlands · Department of Space Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands +6
LGEST: Dynamic Spatial-Spectral Expert Routing for Hyperspectral Image Classification
Mar 25, 2026Jiawen Wen, Suixuan Qiu, Zihang Luo +2Hyperspectral Image Classification Hybrid CNN-Transformer Architectures
Information Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China · Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China · School of Electronic and Communication Engineering, Guangzhou University, Guangzhou University, Guangzhou, Guangzhou, 510006, China
HSI Image Enhancement Classification Based on Knowledge Distillation: A Study on Forgetting
Mar 19, 2026Songfeng ZhuClass-Incremental Learning Hyperspectral Image Classification
School of Software Engineering, Henan Polytechnic University, Henan 454000, china
Spectral Property-Driven Data Augmentation for Hyperspectral Single-Source Domain Generalization
Mar 17, 2026Taiqin Chen, Yifeng Wang, Xiaochen Feng +4Data Augmentation Domain Generalization
School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China · Pengcheng Laboratory, Shenzhen, China · Department of Computer Science and Technology, Tsinghua University, Beijing, China
3D Fourier-based Global Feature Extraction for Hyperspectral Image Classification
Mar 17, 2026Muhammad AhmadHyperspectral Image Classification Frequency-Domain Feature Learning
SDAIA-KFUPM, Joint Research Center for Artificial Intelligence (JRCAI), King Fahd University of Petroleum and Minerals, Dhahran, 31261, Saudi Arabia.
A Benchmark Study of Neural Network Compression Methods for Hyperspectral Image Classification
Mar 5, 2026Sai ShiNeural Network Compression Neural Network Quantization
Department of Computer and Information Science, Temple University, Philadelphia, USA
mHC-HSI: Clustering-Guided Hyper-Connection Mamba for Hyperspectral Image Classification
Mar 3, 2026Yimin Zhu, Zack Dewis, Quinn Ledingham +6Hyperspectral Image Classification Hyperspectral Imaging
Department of Geomatics Engineering, University of Calgary, Canada · Department of Geography, Faculty of Arts, The University of Jordan, Amman, Jordan
VP-Hype: A Hybrid Mamba-Transformer Framework with Visual-Textual Prompting for Hyperspectral Image Classification
Mar 1, 2026Abdellah Zakaria Sellam, Fadi Abdeladhim Zidi, Salah Eddine Bekhouche +4Hyperspectral Image Classification Hyperspectral Imaging
Institute of Applied Sciences and Intelligent Systems (ISASI), CNR, 73100 Lecce, Italy · Dept. of Engineering for Innovation, University of Salento, 73100 Lecce, Italy · VSC Laboratory, Department of Electronics and Automation, University of Biskra, Biskra, Algeria +4

May 14, 2026J/K move · Enter open · S save

Implicit spatial-frequency fusion of hyperspectral and lidar data via kolmogorov-arnold networks

Zekun Long, Judy X. Yang, Jing Wang, Ali Zia+2

School of Information and Communication Technology, Griffith University, Nathan, Australia · School of Computing, Engineering and Mathematical Sciences, La Trobe University, Melbourne, Australia

Remote Sensing Hyperspectral Image Classification Multimodal Sensor Fusion

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Hyperspectral image (HSI) classification is challenging in complex scenes due to spectral ambiguity, spatial heterogeneity, and the strong coupling between material properties and geometric structures. Although LiDAR provides complementary elevation information, most HSI-LiDAR fusion methods rely on CNNs or MLPs with fixed activation functions and linear weights. These methods struggle to model structural discontinuities in LiDAR data, intricate spectral features of HSI, and their interactions. In addition, fusion of the two modalities in both spatial and frequency domains with LiDAR guidance remains underexplored. To address these issues, we propose the Implicit Frequency-Geometry Fusion Network (IFGNet), which leverages Kolmogorov-Arnold Networks (KANs) with learnable spline-based functions to adaptively capture highly nonlinear relationships between hyperspectral and LiDAR features. Furthermore, IFGNet introduces a LiDAR-guided implicit aggregation module in both spatial and frequency domains, enhancing geometry-aware spatial representations while capturing global structural patterns. Experiments on the Houston 2013 and MUUFL benchmarks demonstrate that IFGNet consistently outperforms existing fusion methods in overall accuracy, average accuracy, and Cohen's Kappa, while maintaining an efficient architecture.