Title :
A study on optical and SAR data fusion for extracting flooded area
Author :
Yonghua, Sun ; Xiaojuan, Li ; Huili, Gong ; Wenji, Zhao ; Zhaoning, Gong
Author_Institution :
Capital Normal Univ., Normal
Abstract :
This article proposes a method of fusing the optical data before the flood and SAR (synthetic aperture radar) data during the flood. The main goal of this study is to evaluate the capability of data fusion to combine the information from Landsat ETM image with Radarsat SAR image for water body and flooded area extraction. The Landsat ETM data will basically provide the information of landform and background information which includes the normal water extent. The Radarsat SAR data however was taken during flood will provide information mainly on water body extent and flooded area. In the result image, flooded area was significantly enhanced. We can distinguish the flooded area and normal water area easily.
Keywords :
floods; image fusion; radar imaging; synthetic aperture radar; Landsat ETM image; Radarsat SAR image; SAR data fusion; flooded area extraction; optical data fusion; synthetic aperture radar; water body area extraction; Adaptive optics; Data mining; Floods; Image fusion; Laser radar; Optical sensors; Principal component analysis; Remote monitoring; Remote sensing; Satellites; Data Fusion; Flooded Area Extraction; Optical Image; SAR Image;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4423497