1. Adams, B.J., Huyck, C.K., Mansouri, B., Eguchi, R.T., Shinozuka, M., 2004. Application of high-resolution optical satellite imagery for post-earthquake damage assessment: the 2003 Boumerdes (Algeria) and Bam (Iran) earthquakes. In: Stoyle, J.E. (Ed.), Research Progress and Accomplishments 2003–2004. NY: Multidisciplinary Center for Earthquake Engineering Research (MCEER) Press, Buffalo, pp. 173–186.
2. Ahadzadeh, S., Valadanzouj, M., Sadeghian, S., Ahmadi, S., 2008. Detection of damaged buildings after an earthquake using artificial neural network algorithm, in: Chen, J., Jiang, J., Peled, A. (Eds.), International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXVII, Part B8. Beijing, July 3-11, pp. 369–371.
3. Structural damage assessments from Ikonos data using change detection, object-oriented segmentation, and classification techniques;Al-Khudhairy;Photogramm. Eng. Remote Sens.,2005
4. Comparison of matching algorithms for DSM generation in urban areas from Ikonos imagery;Alobeid;Photogramm. Eng. Remote Sens.,2010
5. Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation;Baatz,2000