DocumentCode :
2130120
Title :
Data fusion techniques of heterogeneous sensor images for debris hazard assessments
Author :
Tsutsui, Ken ; Miyazaki, Sanae ; Nakagawa, Hideaki ; Shiraishi, Takashi ; Rokugawa, Shuichi
Author_Institution :
NTTDATA Corp., Tokyo
Volume :
1
fYear :
2004
fDate :
20-24 Sept. 2004
Lastpage :
359
Abstract :
A new data fusion method, which combines all-weather monitoring ability of SAR imagery and multispectral and 3D mapping abilities of high-resolution optical imagery, were proposed to monitor the debris hazard in mountain area. In this study, the large hazard caused by slope failures in Taiwan on September 2001 was studied using the data fusion method of RADARSAT1 SAR images and SPOT5 optical images. The slope failure area was detected and the failure volume (i.e. elevation change) was measured. Our results were compared with the ground truth data obtained from the photo-interpretation and the ground measurement, and were in good agreement with those truth data. This study indicated that the fusion techniques of recent satellite technologies are highly suitable and efficient for hazard monitorings
Keywords :
optical images; photogrammetry; remote sensing by radar; sensor fusion; synthetic aperture radar; terrain mapping; AD 2001 09; RADARSAT1 SAR image; Taiwan; all-weather monitoring ability; data fusion technique; debris hazard assessment; ground truth data; heterogeneous sensor image; high-resolution SPOT5 optical image; mountain area; multispectral/3D mapping ability; photo-interpretation; satellite technology; slope failure volume/elevation change; Area measurement; Condition monitoring; Geologic measurements; Hazards; Image sensors; Optical sensors; Remote monitoring; Satellites; Sensor fusion; Typhoons;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1369035
Filename :
1369035
Link To Document :
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