A Noval Super-Resolution Model for 10-m Mangrove Mapping With Landsat-5

摘要: Existing temporal mangrove products are at a 30-m resolution from Landsat, facing challenges such as unclear delineation of mangrove community edges, difficulty in identifying creeks and open spaces within communities, and ineffective recognition of small patches. Therefore, there is an urgent need to produce higher resolution temporal mangrove products (e.g., 10-m) with Landsat, particularly considering the absence of available Sentinel imagery before 2015. To this end, we propose a novel super-resolution model that incorporating Residual Channel Attention Networks (RCAN) and Texture Transformer Network (TTSR) to generate 10-m Landsat-5, namely RCAN-TTSR. RCAN and TTSR play crucial roles from different perspectives in the super-resolution process, respectively. TTSR accurately transfers texture information from Sentinel-2 to Landsat by computing the texture correlation between them. On the …