A Novel Remote Sensing Spatiotemporal Data Fusion Framework Based on the Combination of Deep-Learning Downscaling and Traditional Fusion Algorithm
Dunyue Cui,
Shidong Wang,
Cunwei Zhao
et al.
Abstract:Traditional remote sensing spatio-temporal data fusion algorithms generally use up-sampled low-resolution images (MODIS) to be fused with high-resolution images (Landsat), this makes both images less spatially consistent and many hybrid image elements in low-resolution images, so uncertainty errors propagate into the fusion results. To address this issue, we propose a framework for combining deep learning-based super-resolution techniques with traditional spatio-temporal fusion methods. By reconstructing low-r… Show more
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