Title :
Automated detection of damaged buildings using aerial HDTV images
Author :
Hasegawa, Hirotada ; Aoki, Hisashi ; Yamazaki, Fumio ; Matsuoka, Masashi ; Sekimoto, Izumi
Author_Institution :
RIKEN, Inst. of Phys. & Chem. Res., Hyogo, Japan
Abstract :
In order to seek the possibility of automated detection of damaged buildings from aerial television, the characteristics of high-definition television (HDTV) images taken after the 1995 Kobe earthquake were investigated. The relationships between the degree of building damage and the color indices and edge intensity from the aerial images were examined by image processing techniques. The characteristics of building damage were defined on the basis of hue, saturation, brightness and edge intensity. Using the threshold values of these parameters, the typical areas were classified into damaged and undamaged pixels. A texture analysis was further conducted to these pixels and damaged buildings were identified. The extracted damage distribution by the proposed method agreed well with ground truth data and visual inspection of the HDTV images
Keywords :
earthquakes; geophysical signal processing; geophysical techniques; high definition television; image processing; image texture; remote sensing; terrain mapping; AD 1995; HDTV; Japan; Kobe earthquake; aerial image; automated detection; building damage; buildings; city; color indices; colour index; damaged buildings; earthquake damage; edge intensity; geophysical measurement technique; high-definition television; hue; image processing; image texture; land surface; optical imaging; remote sensing; saturation; terrain mapping; threshold value; town; urban area; Brightness; Color; Data mining; Earthquakes; HDTV; Image edge detection; Image processing; Image texture analysis; Inspection; TV;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-6359-0
DOI :
10.1109/IGARSS.2000.860502
