DocumentCode
2123060
Title
Automatic detection of damaged area of Iran earthquake by high-resolution satellite imagery
Author
Sakamoto, M. ; Takasago, Y. ; Uto, K. ; Kakumoto, S. ; Kosugi, Y. ; Doihara, T.
Author_Institution
Interdisciplinary Graduate Sch. of Sci. & Eng., Tokyo Inst. of Technol., Japan
Volume
2
fYear
2004
fDate
20-24 Sept. 2004
Firstpage
1418
Abstract
The huge earthquake of magnitude 6.3 had occurred at Bam city of southeastern Iran on December 26, 2003. The author applied nonlinear mapping method for detection of collapsed building area due to Iran earthquake with high-resolution QuickBird satellite images. As a result, ROC evaluation based on the result of photo interpretation by operator showed that the detection ratio of the proposed method is 75-90% of changed area with 20% of false alarm.
Keywords
earthquakes; image processing; remote sensing; terrain mapping; AD 2003 12 26; Bam city; ROC evaluation; automatic damage detection; collapsed building area; earthquake; nonlinear mapping method; photo interpretation; southeastern Iran; Asia; Cities and towns; Costs; Earthquake engineering; Image matching; Iterative methods; Lenses; Neural networks; Robustness; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN
0-7803-8742-2
Type
conf
DOI
10.1109/IGARSS.2004.1368685
Filename
1368685
Link To Document