Hyperspectral Image Classification
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Benchmarks
Indian Pines
Pavia University
Kennedy Space Center
Houston
CASI University of Houston
Salinas
Salinas Scene
Botswana
Most implemented
BCG-Former: Toward Pareto-Efficient Hyperspectral Image Classification via Band-Contextual Gating
Pyramid Hierarchical Transformer for Hyperspectral Image Classification
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification
Papers
Dimensionality Reduction for Hyperspectral Image Classification
This paper addresses the issue of supervised classification in the context of hyperspectral satellite images. It deals with two fundamental aspects: dimensionality reduction of data and the selection of appropriate super…
Hyperspectral Image ClassificationDimensionality ReductionA Kernel-Based Modular Discriminant Analysis Framework for Small-Sample Learning
The small-sample-size (SSS) problem remains a fundamental challenge in machine learning when labeled data are scarce due to cost, accessibility, or ethical constraints. While numerous approaches have been proposed, exist…
Hyperspectral Image ClassificationMedical DiagnosisFace RecognitionFault DiagnosisConvolution-Free Holistic Multivariance Decomposition Layer for Efficient Hyperspectral Image Classification Tensor Networks
Feature extraction for hyperspectral image classification is conventionally addressed using rigid tensor decompositions that fail to capture complex spatio-spectral interdependencies, or heavily parameterized convolution…
Hyperspectral Image ClassificationTopology-Aware Neighborhood Learning for Source-Free Cross-Scene Hyperspectral Image Classification
Domain adaptation has advanced cross-scene hyperspectral image classification, significantly improving discriminative capability in complex scenarios. However, privacy rules or storage limits often block access to data f…
Hyperspectral Image ClassificationDomain AdaptationMSCM-net: A hyperspectral image classiffcation method based on multi-scale convolution and Mamba
Hyperspectral imaging is widely used in remote sensing and engineering. Therefore, research on its classification methods is crucial. While CNN and Transformer-based methods have advanced, they still face locality constr…
Hyperspectral Image ClassificationBCG-Former: Toward Pareto-Efficient Hyperspectral Image Classification via Band-Contextual Gating
Hyperspectral image (HSI) classification systems are increasingly deployed on platforms with strict computational budgets, such as UAVs and small spaceborne sensors. In these settings, accuracy alone is not enough; the m…
Hyperspectral Image ClassificationRepresentation Learning