The page collects existing papers and codes on hyperspectral image clustering. If you find this repository useful to your research or work, it is really appreciated to star this repository.

1. [Arxiv 2023] Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks [paper]
2. [ICASSP 2024] Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering [paper]
3. [JSTARS 2023] Diffusion Subspace Clustering for Hyperspectral Images [paper]
4. [TGRS 2023] Graph-Based Structural Deep Spectral-Spatial Clustering for Hyperspectral Image [paper]
5. [TGRS 2023] Deep Spectral Clustering With Regularized Linear Embedding for Hyperspectral Image Clustering [paper]
6. [TGRS 2023] S2DMSC: A Self-Supervised Deep Multilevel Subspace Clustering Approach for Large Hyperspectral Images [paper]
7. [Information Sciences 2023] Transformer-based Contrastive Prototypical Clustering for Multimodal Remote Sensing Data [paper]
8. [Information Sciences 2023] Large-scale non-negative subspace clustering based on Nyström approximation [paper]
9. [GRSL 2023] Fuzzy C-Multiple-Means Clustering for Hyperspectral Image [paper]
10. [GRSL 2023] Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery [paper]
11. [JSTARS 2023] Diffusion Subspace Clustering for Hyperspectral Images [paper]
12. [RS 2023] From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images [paper]
13. [RS 2021] Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images [paper]
14. [TIM 2023] Graph-Based Structural Deep Spectral-Spatial Clustering for Hyperspectral Image [paper]
15. [IPT 2023] Fast low-rank-matrix-based connection center evolution for large hyperspectral image clustering [paper]
16. [Front. Plant Sci. 2023] Recognition of spider mite infestations in jujube trees based on spectral-spatial clustering of hyperspectral images from UAVs [paper]
17. [ICASSP 2O23] Structured-Anchor Projected Clustering for Hyperspectral Images [paper]
18. [CISES 2023] Clustering of Hyperspectral Images using Entropy based Multiple Features (Bands) Set Selection [paper]
19. [ICOEI 2O23] Hyper Spectral Image Clustering and Local Feature Selection using Gini Impurity [paper]
20. [AICV 2023] Multilevel Quantum Evolutionary Butterfly Optimization Algorithm for Automatic Clustering of Hyperspectral Images [paper]
21. [CVIU 2023] Unsupervised Clustering of Hyperspectral Data with an Unknown Number of Clusters Using Dirichlet Process Means [paper]
22. [Arxiv 2023] Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images [paper]

1. [TGRS 2022] Spatial-Spectral Clustering With Anchor Graph for Hyperspectral Image [paper]
2. [TGRS 2022] Superpixel-Level Global and Local Similarity Graph-Based Clustering for Large Hyperspectral Images [paper]
3. [TGRS 2022] Hybrid-Hypergraph Regularized Multiview Subspace Clustering for Hyperspectral Images [paper]
4. [TGRS 2022] Tensorial Multiview Subspace Clustering for Polarimetric Hyperspectral Images [paper]
5. [TGRS 2022] Deep Low-Rank Graph Convolutional Subspace Clustering for Hyperspectral Image [paper]
6. [TGRS 2022] A Bipartite Graph Partition-Based Coclustering Approach With Graph Nonnegative Matrix Factorization for Large Hyperspectral Images [paper]
7. [TGRS 2022] Graph Convolutional Optimal Transport for Hyperspectral Image Spectral Clustering [paper]
8. [TGRS 2022] S3TRM: Spectral-Spatial Unmixing of Hyperspectral Imagery Based on Sparse Topic Relaxation-Clustering Model [paper]
9. [TGRS 2022] Graph Convolutional Sparse Subspace Coclustering With Nonnegative Orthogonal Factorization for Large Hyperspectral Images [paper]
10. [TGRS 2022] Subspace Clustering for Hyperspectral Images via Dictionary Learning With Adaptive Regularization [paper]
11. [TGRS 2022] Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images [paper]
12. [TGRS 2022] Unsupervised Self-Correlated Learning Smoothy Enhanced Locality Preserving Graph Convolution Embedding Clustering for Hyperspectral Images [paper]
13. [TGRS 2022] Self-supervised locality preserving low-pass graph convolutional embedding for large-scale hyperspectral image clustering [paper]
14. [GRSL 2022] Self-Supervised Learning of Discriminative Spatial–Spectral Features for Hyperspectral Images Clustering [paper]
15. [GRSL 2022] Fuzzy Embedded Clustering Based on Bipartite Graph for Large-Scale Hyperspectral Image [paper]
16. [GRSL 2022] Deep Mutual Information Subspace Clustering Network for Hyperspectral Images [paper]
17. [GRSL 2022] Fast Spectral Embedded Clustering Based on Structured Graph Learning for Large-Scale Hyperspectral Image [paper]
18. [TCSVT 2022] Spectral–Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering [paper]
19. [JSTARS 2022] MS2A-Net: Multiscale Spectral–Spatial Association Network for Hyperspectral Image Clustering [paper]
20. [JSTARS 2022] Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image [paper]
21. [JSTARS 2022] Dynamic Ensemble Learning With Multi-View Kernel Collaborative Subspace Clustering for Hyperspectral Image Classification [paper]
22. [RS 2022] Clustering information-constrained 3D U-Net subspace clustering for hyperspectral image [paper]
23. [Sensors 2022] Spatial–Spectral Constrained Adaptive Graph for Hyperspectral Image Clustering [paper]
24. [IET 2022] Fast robust fuzzy clustering based on bipartite graph for hyper‐spectral image classification [paper]
25. [ESIN 2022] Convolution-augmented transformer network for hyperspectral image subspace clustering [paper]
26. [ICASSP 2022] Hyperspectral Clustering Using Atrous Spatial-Spectral Convolutional Network [paper]
27. [ICASSP 2022] DPSB model-based clustering algorithm for mineral mapping in hyperspectral imagery [paper]
28. [WI-IAT 2022] Research on Clustering Algorithm of Hyperspectral Images Based on Fuzzy Kernel P System [paper]
29. [SIBIRCON) 2022] Fusion of spectral and texture features for hyperspectral data clustering [paper]
30. [MysuruCon 2022] Spatial Granule based Clustering Technique for Hyperspectral Images [paper]
31. [Arxiv 2022] A dynamical systems algorithm for clustering in hyperspectral imagery [paper]

1. [GRSM 2O21] Hyperspectral Image Clustering: Current achievements and future lines [paper]
2. [TGRS 2021] Graph Convolutional Subspace Clustering: A Robust Subspace Clustering Framework for Hyperspectral Image [paper]
3. [TGRS 2021] Nonlocal Means Regularized Sketched Reweighted Sparse and Low-Rank Subspace Clustering for Large Hyperspectral Images [paper]
4. [TGRS 2021] Deep Clustering With Intraclass Distance Constraint for Hyperspectral Images [paper]
5. [TGRS 2021] Sparsity-Based Clustering for Large Hyperspectral Remote Sensing Images [paper]
6. [TGRS 2021] Automatic Clustering-Based Two-Branch CNN for Hyperspectral Image Classification [paper]
7. [Information Sciences 2021] Graph regularized residual subspace clustering network for hyperspectral image clustering [paper]
8. [TSCVT 2021] Deep Spatial-Spectral Subspace Clustering for Hyperspectral Image [paper]
9. [GRSL 2021] Fast High-Order Sparse Subspace Clustering With Cumulative MRF for Hyperspectral Images [paper]
10. [GRSL 2021] Hypergraph-Regularized Low-Rank Subspace Clustering Using Superpixels for Unsupervised Spatial–Spectral Hyperspectral Classification [paper]
11. [GRSL 2021] ClusterCNN: Clustering-Based Feature Learning for Hyperspectral Image Classification [paper]
12. [JSTARS 2O21] Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization [paper]
13. [JSTARS 2021] A Fast and Accurate Similarity-Constrained Subspace Clustering Algorithm for Hyperspectral Image [paper]
14. [JSTARS 2O21] Affinity Matrix Learning Via Nonnegative Matrix Factorization for Hyperspectral Imagery Clustering [paper]
15. [JARS 2O21] Efficient subspace clustering of hyperspectral images using similarity-constrained sampling [paper]
16. [RS 2021] Deep Spatial-Spectral Subspace Clustering for Hyperspectral Images Based on Contrastive Learning [paper]
17. [RS 2021] An Interband Registration Method for Hyperspectral Images Based on Adaptive Iterative Clustering [paper]
18. [RS 2021] Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image [paper]
19. [RS 2021] Hyperspectral Image Clustering with Spatially-Regularized Ultrametrics [paper]
20. [RS 2021] Self-organizing maps for clustering hyperspectral images on-board a cubesat [paper]
21. [IET Image Processing 2021] A fuzzy spectral clustering algorithm for hyperspectral image classification [paper]
22. [JISMAC 2021] Hyperspectral image processing in internet of things model using clustering algorithm [paper]
23. [IEEE Access 2021] Unsupervised Feature Extraction for Reliable Hyperspectral Imagery Clustering via Dual Adaptive Graphs [paper]
24. [CVPRW 2021] Generalized Unsupervised Clustering of Hyperspectral Images of Geological Targets in the Near Infrared [paper]
25. [WHISPERS 2021] A Multi-Sensor Subspace-Based Clustering Algorithm Using RGB and Hyperspectral Data [paper]
26. [InGARSS 2021] Hyperspectral Image Clustering Using Nearest Neighbor [paper]
27. [InGARSS 2021] Automatic Clustering of Hyperspectral Images Using Qutrit Exponential Decomposition Particle Swarm Optimization [paper]
28. [MLSP 2021] Fast Subspace Clustering Algorithm with Efficient Similarity-Constrained Sampling for Hyperspectral Images [paper]
29. [IGARSS 2021] Multiscale Clustering of Hyperspectral Images Through Spectral-Spatial Diffusion Geometry [paper]
30. [Signal, Image and Video Processing 2021] Dictionary learning for clustering on hyperspectral images [paper]
31. [Arxiv 2021] Large-Scale Hyperspectral Image Clustering Using Contrastive Learning [paper]

1. [TGRS 2020] Learning Discriminative Embedding for Hyperspectral Image Clustering Based on Set-to-Set and Sample-to-Sample Distances [paper]
2. [TGRS 2020] Multi-Objective Sparse Subspace Clustering for Hyperspectral Imagery [paper]
3. [GRSL 2020] Spectral–Spatial Diffusion Geometry for Hyperspectral Image Clustering [paper]
4. [IJRS 2020] Hyperspectral image clustering with Albedo recovery Fuzzy C-Means [paper]
5. [JSTARS 2020] Affinity matrix learning via nonnegative matrix factorization for hyperspectral imagery clustering [paper]
6. [RS 2020] Estimation of the number of endmembers in hyperspectral images using agglomerative clustering [paper]
7. [RS 2020] Hierarchical sparse subspace clustering (HESSC): An automatic approach for hyperspectral image analysis [paper]
8. [RS 2020] Improving K-nearest neighbor approaches for density-based pixel clustering in hyperspectral remote sensing images [paper]
9. [RS 2020] Minimax bridgeness-based clustering for hyperspectral data [paper]
10. [Symmetry 2020] Unsupervised clustering for hyperspectral images [paper]
11. [Journal of imaging 2020] Unsupervised clustering of hyperspectral paper data using t-SNE [paper]
12. [Analytica chimica acta 2020] A graph-based clustering method with special focus on hyperspectral imaging [paper]
13. [Traitement du Signal 2020] An Automatic Method for Unsupervised Feature Selection of Hyperspectral Images Based on Fuzzy Clustering of Bands [paper]
14. [ICIP 2020] Targeted Incorporating Spatial Information in Sparse Subspace Clustering of Hyperspectral Remote Sensing Images [paper]
15. [ICIP 2020] Sketched Sparse Subspace Clustering For Large-Scale Hyperspectral Images [paper]
16. [ICASSP 2020] L0-Motivated Low Rank Sparse Subspace Clustering for Hyperspectral Imagery [paper]
17. [ICASSP 202O] Patch-Based Diffusion Learning for Hyperspectral Image Clustering [paper]
18. [ICASSP 2020] Locally Constrained Collaborative Representation Based Fisher's LDA for Clustering of Hyperspectral Images [paper]
19. [ICASSP 2020] Improved Nearest Neighbor Density-Based Clustering Techniques with Application to Hyperspectral Images [paper]
20. [SAM 2020] Hyperspectral Image Clustering based on Variational Expectation Maximization [paper]
21. [CEC 2020] Multilevel Quantum Inspired Fractional Order Ant Colony Optimization for Automatic Clustering of Hyperspectral Images [paper]