[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).

List of datasets, codes, and contests related to remote sensing semantic change detection

[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

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

Companion repository for NLP pipeline and paper: "Threshold-Calibrated Word Sense Disambiguation: Semantic Broadening Without Sense Redistribution in Schizophrenia"

TERRA-CD: A Multi-Temporal Dataset for Multi-Class and Semantic Change Detection

DFANet: A Difference Fusion Attention-based method for Semantic Change Detection