Title :
A new visual attention-based method for water detection in SAR images
Author :
Hou, Biao ; Yang, Wei ; Wang, Shuang ; Jiao, L.C.
Author_Institution :
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian, University, Xi´an, 710071, China
Abstract :
Water detection in SAR images has been widely used in water area mapping and monitoring flooding [1] [2]. However, two challenges exist in water detection in SAR images. First, due to changeable ocean climate, radar backscatte strength varies in the different regions of the same water, which causes error detection. Second, it is difficult to distinguish water from low gray vegetation and road network.
Keywords :
Computational modeling; Cybernetics; Feature extraction; Humans; Image resolution; Robots; Visualization;
Conference_Titel :
Synthetic Aperture Radar (APSAR), 2011 3rd International Asia-Pacific Conference on
Conference_Location :
Seoul, Korea (South)
Print_ISBN :
978-1-4577-1351-4
