wenhwu/awesome-remote-sensing-change-detection

Organizes datasets across multiple imaging modalities (optical, SAR, multi-modal) with standardized metadata including resolution, spatial extent, and class taxonomies, enabling systematic benchmarking of change detection algorithms. Categorizes methods by architecture type—foundation models, diffusion/GAN-based, transformers, and traditional approaches—linking each to source code and peer-reviewed publications. Includes specialized resources for disaster response applications and actively tracks competition benchmarks alongside curated review papers to support algorithm development and evaluation.

2,143 stars. Actively maintained with 1 commit in the last 30 days.