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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1368685
