Official implementation of the paper "MFil-Mamba: Multi-Filter Scanning for Spatial Redundancy-Aware Visual State Space Models"

“Uncertainty Aware Graph Self-Supervised Learning for Hyperspectral Image Change Detection”

A hyperspectral coastal wetland change detection dataset for Hangzhou Bay (HZB), and the proposed CGMNet: A Center-Pixel and Gated Mechanism–Based Attention Network for hyperspectral change detection.

A model-based algorithm for hyperspectral change detection

Low-Rank and Sparse Representation Meet Deep Unfolding: A New Interpretable Network for Hyperspectral Change Detection (IEEE TGRS, 2025)

The implementation of "A dual-branch siamese spatial-spectral transformer attention network for Hyperspectral Image Change Detection". ESWA, 2024.

The official repo for [TPAMI'25] "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

Ultralytics YOLO 🚀

The code in this toolbox implements the "Stationary Wavelet Convolutional Network with Generative Feature Learning for Hyperspectral Unmixing".

Code for the Endmember-Oriented Transformer Hyperspectral Unmixing Network

demo of SRViT

【TIP 2025】CFRL for Unsupervised Multimodal Change Detection

Wavelet Convolutions for Large Receptive Fields. ECCV 2024.

[TCSVT 2025] WDMamba: When Wavelet Degradation Prior Meets Vision Mamba for Image Dehazing

[ICME2024 Oral, JSTARS2025, TGRS2026] Change detection of remote sensing images

The implement of the paper "A Semi-Supervised Multi-Scale Convolutional Sparse Coding-Guided Deep Interpretable Network for Hyperspectral Image Change Detection" (TGRS 2024)

[TGRS 2024]DCENet: Diff-Feature Contrast Enhancement Network for Semi-Supervised Hyperspectral Change Detection

[TGRS2025]STMNet: Single-Temporal Mask-Based Network for Self-Supervised Hyperspectral Change Detection

Official implementation of EDAA (TIP 2023)

Code for paper 'GTransCD: Graph Transformer-Guided Multitemporal Information United Framework for Hyperspectral Image Change Detection'

Dual-Branch Difference Amplification Graph Convolutional Network for Hyperspectral Image Change Detection (TGRS 2022)

Local Information-Enhanced Graph-Transformer for Hyperspectral Image Change Detection With Limited Training Samples (TGRS 2023)

Strengthened Residual Graph and Multiscale Gated Guided Convolutional Fusion Network for Hyperspectral Change Detection(SRGMGN), IEEE TGRS, 2024

A hyperspectral data set can be used for testing binary and multi-class change detection techniques.

Awesom Remote Sensing Hyperspectral. Hyperspectral Image Classification, Change Detection. Methods and Datasets.

MATLAB implementation for Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering.

Cycle-Refined Multidecision Joint Alignment Network for Unsupervised Domain Adaptive Hyperspectral Change Detection (TNNLS 2024)