Building‐based damage detection due to earthquake using the watershed segmentation of the post‐event aerial images

Man-made Object Detection Based on Texture Clustering and Geometric Structure Feature Extracting

“…Let be a random variable denoting gray levels. The nth moment of about the mean is described as (5).…”

“…As a key technology of image processing, man-made object detection is the basis for target tracking and recognition, widely applied in intelligent transportation [1,2], urban planning [3,4], damage assessment [5][6][7] and military target detection [8]. Automatic detection and marking of man-made object will improve the efficiency of remote sensing image interpretation, and be beneficial to the flight control of unmanned aerial vehicles (UAV).…”

A fuzzy decision making system for building damage map creation using high resolution satellite imagery

“…Among all available sources, images are more comprehensive and rapid-access for providing information about the damaged area. During the last decade, much of the research has focused on using this data source for post-earthquake damage assessment, which has led to image-based damage assessment trending amongst the hottest topics in photogrammetry and remote sensing (Chini et al, 2009;Matsuoka and Yamazaki, 2004;Rezaeian, 2010;Thomas, 2010;Turker and Sumer, 2008). Consequently, different methods and techniques have been reported by researchers, which can be classified based on various criteria.…”

“…In comparison with airborne data, rapid access and continuous coverage of satellite images have allowed most researchers to apply these images for damage assessment (Brunner et al, 2010;Vu and Ban, 2010;Yamazaki and Matsuoka, 2007); while other 456 H. Rastiveis et al: A fuzzy decision making system for building damage map creation researchers have used aerial images for damage assessment (Li et al, 2008;Rezaeian, 2010;Thomas, 2010;Turker and Sumer, 2008).…”

“…In automatic interpretation, damaged buildings are recognized by using different clues which are automatically extracted from the image(s). For example, information from adjacent pixels, such as edges and texture, were used by Turker and San (2003).…”