Man-made object segmentation around reservoirs by an end-to-end two-phase deep learning-based workflow
Nayereh Hamidishad,
Roberto Marcondes Cesar
Abstract:Constructions around them can negatively impact their water quality. Such constructions can be detected by segmenting man-made objects around reservoirs in the remote sensing (RS) images. Deep learning (DL) has attracted considerable attention in recent years as a method for segmenting the RS imagery into different land covers/uses and has achieved remarkable success. We develop an approach based on DL and image processing techniques for man-made object segmentation around the reservoirs. In order to segment m… Show more
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