[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
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Updated
Apr 24, 2026 - Python
[IEEE TGRS 2024] ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model
[IEEE TGRS 2024] Learning Land-Cover Changes from Satellite and Map Data via Object-Guided Transformer
Official code: Semantic change detection using a hierarchical semantic graph interaction network from high-resolution remote sensing images
A Pytorch-based toolbox for three different change detection tasks, including binary change detection (BCD), semantic change detection (SCD), and building damage assessment (BDA).
[IEEE JSTARS 2026] Mamba-FCS: Joint Spatio-Frequency Feature Fusion, Change-Guided Attention, and SeK Inspired Loss for Enhanced Semantic Change Detection in Remote Sensing
List of datasets, codes, and contests related to remote sensing semantic change detection
BGSNet: A boundary-guided Siamese multitask network for semantic change detection from high-resolution remote sensing images
Detecting semantic changes from VHR remote sensing images by integrating semantic correlations and change priors
GRSL: Integrating historical map information for remote sensing image semantic change detection
TERRA-CD: A Multi-Temporal Dataset for Multi-Class and Semantic Change Detection
Companion repository for NLP pipeline and LChange'26 paper: "Threshold-Calibrated Word Sense Disambiguation: Semantic Broadening Without Sense Redistribution in Schizophrenia"
DFANet: A Difference Fusion Attention-based method for Semantic Change Detection
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