Hyperspectral Image Clustering

Hyperspectral image clustering aims to automatically group pixels in high-dimensional hyperspectral images based on their spectral and spatial characteristics, facilitating efficient analysis of complex datasets. Recent research emphasizes developing robust and scalable algorithms, focusing on techniques like contrastive learning (often incorporating both pixel and superpixel levels), graph-based methods leveraging spatial relationships, and deep learning approaches that learn effective data representations for improved subspace separation. These advancements are crucial for various applications, including remote sensing, where accurate and efficient unsupervised classification of large-scale hyperspectral data is essential for tasks such as land cover mapping and environmental monitoring.

Papers

April 8, 2024

Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering
Jingxin Wang, Renxiang Guan, Kainan Gao, Zihao Li, Hao Li, Xianju Li, Chang Tang
Contrastive Learning Hyperspectral Image Clustering

December 24, 2023

Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering
Kangning Cui, Ruoning Li, Sam L. Polk, Yinyi Lin, Hongsheng Zhang, James M. Murphy, Robert J. Plemmons, Raymond H. Chan
Hyperspectral Image Hyperspectral Image Clustering

December 15, 2023

Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering
Renxiang Guan, Zihao Li, Xianju Li, Chang Tang
Contrastive Learning Pseudo Label Hyperspectral Image Clustering Pixel Level Clustering

November 27, 2021

Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification
Anurag Goel, Angshul Majumdar
Hyperspectral Image Classification Dictionary Learning Subspace Clustering Hyperspectral Image Segmentation Sparse Subspace Hyperspectral Image Clustering

November 15, 2021

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning
Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai
Contrastive Learning Contrastive Clustering Online Clustering Hyperspectral Benchmark Hyperspectral Image Clustering

Hyperspectral Image Clustering

Papers

Multi-level Graph Subspace Contrastive Learning for Hyperspectral Image Clustering

Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering

Pixel-Superpixel Contrastive Learning and Pseudo-Label Correction for Hyperspectral Image Clustering

Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification

Large-Scale Hyperspectral Image Clustering Using Contrastive Learning