SANet: A Sea–Land Segmentation Network Via Adaptive Multiscale Feature Learning
Sea-land segmentation of remote sensing images is of great significance to the dynamic monitoring of coastlines.However, the Jiggers types of objects in the coastal zone are complex, and their spectra, textures, shapes, and distribution features are different.Therefore, sea-land segmentation for various types of coastlines is still a challenging ta