Rapid damage mapping using post-earthquake satellite images

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 4, Issue , 2004, Pages 2272-2275

  Saito, Keiko ^a   Spence, Robin ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Earthquake building damage; High resolution optical satellite images; Texture analysis; Visual interpretation

Indexed keywords

CLASSIFICATION (OF INFORMATION); EARTHQUAKE EFFECTS; GLOBAL POSITIONING SYSTEM; IMAGE ANALYSIS; IMAGING SYSTEMS; PLANNING; RECONSTRUCTION (STRUCTURAL); SATELLITES;

EARTHQUAKE BUILDING DAMAGE; HIGH-RESOLUTION OPTICAL SATELLITE IMAGES; TEXTURE ANALYSIS; VISUAL INTERPRETATION;

MAPPING;

EID: 15944369252     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Saito, K., Spence. R.J.S., Going, C., Markus, M., "Using high-resolution satellite images for post-earthquake damage assessment - a case study following the 26.1.01 Gujarat earthquake". Earthquake Spectra, EERI, February 2004
2. European Seismological Commission, European Macro Seismic Scale 98°. Luxenbourg 1998
3. Tso, B., and Mather, P. Classification methods for remotely sensed data, London, Taylor and Francis, 2001
4. Haralick, R. M., Shanmugam, K., and Dinsten, I., "Texture feature for image classification" IEEE Transactions on Systems, Man, and Cybernetics 3, pp610-21, 1973
5. Jensen, J. R., Introductory Digital Image Processing - A Remote Sensing Perspective, New Jersey, Prentice Hall, 1996.
6. Carr, J. R., "Spectral and texural classification of single and multiple band images" Computers and Geosciences 22, pp849-65, 1996.
7. Criminisi, A., Accurate Visual Metrology from Single and Multiple Uncalibrated Images, London, Springer-Verlag, 2001.