Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery
Arthita Ghosh, Max Ehrlich, Sohil Shah, Larry Steven Davis, Rama Chellappa · 2018
We present a semantic segmentation algorithm for RGB remote sensing images. Our method is based on the Dilated Stacked U-Nets architecture. This state-of-the-art method has been shown to have good performance in other applications. We perform additional post-processing by blending image tiles and degridding the result. Our method gives competitive results on the DeepGlobe dataset.