Title :
Flooded area detection using multi-temporal TerraSAR-X data
Author :
Lu, Xin ; Wang, Jieqoing ; Wang, Zhenghuan ; Sun, Hong
Author_Institution :
Signal Process. Lab., Wuhan Univ., Wuhan, China
Abstract :
Flood is one of the most common and expensive natural disaster. Rapid and efficient procedure to accurately detect the flood-inundated area irrespective of weather conditions will help the monitoring and rescuing during the seasonal flooding period. In this paper, a procedure is proposed to obtain the flood mapping using multi-temporal TerraSAR-X data. And a comparative experiment is design to test the effect of the proposed procedure. The result shows that it can extract the flooding area effectively.
Keywords :
floods; geophysical signal processing; hydrological techniques; radar imaging; synthetic aperture radar; flood mapping; flood-inundated area; flooded area detection; multitemporal TerraSAR-X data; natural disaster; seasonal flooding; Adaptive optics; Clustering algorithms; Data mining; Filtering algorithms; Floods; Image segmentation; Iterative algorithms; Kernel; Signal processing algorithms; Sun; TerraSAR-X; detection; flood; multi-temporal;
Conference_Titel :
Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
Conference_Location :
Xian, Shanxi
Print_ISBN :
978-1-4244-2731-4
Electronic_ISBN :
978-1-4244-2732-1
DOI :
10.1109/APSAR.2009.5374134
