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Improved urban flooding mapping from remote sensing images using generalized regression neural network-based super-resolution algorithm

Li, Linyi; Xu, Tingbao; Chen, Yun

Description

Urban flooding is a serious natural hazard to many cities all over the world, which has dramatic impacts on the urban environment and human life. Urban flooding mapping has practical significance for the prevention and management of urban flood disasters. Remote sensing images with high temporal resolutions are widely used for urban flooding mapping, but have a limitation of relatively low spatial resolutions. In this study, a new method based on a generalized regression neural network (GRNN)...[Show more]

CollectionsANU Research Publications
Date published: 2016
Type: Journal article
URI: http://hdl.handle.net/1885/153749
Source: Remote Sensing
DOI: 10.3390/rs8080625

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