Automatic Mapping of Tropical Cyclone-Induced Coastal Inundation in SAR Imagery Based on Clustering of Deep Features

Researchers have already verified that the deep learning (DL) technology can realize accurate and robust mapping of tropical cyclone-induced coastal inundation in synthetic aperture radar imagery. In order to liberate the DL-based inundation mapping from human supervision, we propose to use the clus...

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Bibliographic Details

Published in:	IEEE International Geoscience and Remote Sensing Symposium proceedings pp. 5765 - 5768
Main Authors:	Liu, Bin, Li, Xiaofeng, Zheng, Gang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.09.2020
Subjects:	clustering Coastal inundation mapping deep convolutional autoen-coder (DCAE) Feature extraction Floods Radar imaging Radar polarimetry Sea measurements Sensors Synthetic aperture radar synthetic aperture radar (SAR) imagery
ISSN:	2153-7003
Online Access:	Get full text
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