RichardPix/RASSFM-2.0_MATLAB: RASSFM 2.0-MATLAB: A MATLAB implementation of the enhanced M2Msharpening model for PlanetScope–Sentinel-2 image fusion
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This release provides the MATLAB implementation of RASSFM 2.0, an enhanced spatial–spectral fusion model designed for multispectral-to-multispectral sharpening (M2Msharpening). The method blends fine-but-limited imagery (e.g., PlanetScope) with coarse-but-rich imagery (e.g., Sentinel-2) to generate fine-and-rich multispectral images, which can substantially benefit downstream applications, e.g., land cover classification. References: Yongquan Zhao, Desheng Liu, Xiaolin Zhu, Ming Luo, Bo Huang, Chunqiao Song, Xuejun Duan. 2026. RASSFM 2.0: An enhanced M2Msharpening model for blending PlanetScope and Sentinel-2 imagery across broad landscapes and improved land cover classification. Remote Sensing of Environment. Yongquan Zhao, Desheng Liu. 2022. A robust and adaptive spatial-spectral fusion model for PlanetScope and Sentinel-2 imagery. GIScience & Remote Sensing, 59(1), 520-546. doi: 10.1080/15481603.2022.2036054
Fields of Study & Subjects
Advanced Image Fusion Techniques
Satellite Image Processing and Photogrammetry
Remote-Sensing Image Classification
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 March 2026
- Language
- EN