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  • SOSSF: Landsat-8 Image Synthesis on the Blending of Sentinel-1 and . . .
    To achieve this solution, we first establish a worldwide benchmark dataset, namely, Sentinel-1, MODIS, and Landsat-8 triplets (SMILE), with various land cover types and all meteorological seasons, satisfying the big data requirements of deep learning (DL)
  • SOSSF: Landsat-8 image synthesis on the blending of Sentinel-1 and . . .
    To tackle these defects, we propose a new data-driven solution, SAR-optical data-based spatial–spectral fusion (SOSSF), which combines the high-spatial and cloud-free advantages of Sentinel-1
  • MODIS Web
    To achieve this solution, we first establish a worldwide benchmark dataset, namely, Sentinel-1, MODIS, and Landsat-8 triplets (SMILE), with various land cover types and all meteorological seasons, satisfying the big data requirements of deep learning (DL)
  • SOSSF: Landsat-8 Image Synthesis on the Blending of Sentinel-1 and . . .
    The results show that the MSTDFA algorithm can generate daily synthetic Landsat imagery with a high correlation coefficient, and can be applied to 250 m 16-day MODIS MOD13Q1 products and the Landsat Normalized Different Vegetation Index (NDVI) data
  • SOSSF: Landsat-8 Image Synthesis on the Blending of Sentinel-1 and . . .
    Article "SOSSF: Landsat-8 Image Synthesis on the Blending of Sentinel-1 and MODIS Data" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology Agency (hereinafter referred to as "JST")
  • GitHub - whuyuxia SMILEcode: data fusion code
    He, Q Huang, H Chen, H Huang and H Zhang, "SOSSF: Landsat-8 Image Synthesis on the Blending of Sentinel-1 and MODIS Data," in IEEE Transactions on Geoscience and Remote Sensing, vol 62, pp 1-19, 2024, Art no 5401619, doi: 10 1109 TGRS 2024 3352662 data fusion code
  • SMILE_Dataset - Kaggle
    The Sentinel-1 and Landsat-8 images are coherent in spatial details in all scenes, but large gaps are observed within the spectra Meanwhile, the MODIS images are more similar to the Landsat-8 images in spectra but miss spatial information
  • Wuhan University Wei He--Home
    SOSSF: Landsat-8 image synthesis on the blending of Sentinel-1 and MODIS data Date of Publication:Hits: Journal: IEEE Transactions on Geoscience and Remote Sensing





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