Fusing spectral and texture information for collapsed buildings detection in airborne image

This paper proposes a method on detecting specific type of collapsed built-up structures using only post-event images. Its essence lies in fusing morphological texture and spectral information through a nonlinear function to characterize debris of collapsed built-up structures. Experiments are carried out on an image after the 2010 Yushu earthquake. Results show that the method can well extract collapsed brick built-up structures and it has an advantage of handling complex scenes in urban areas compared to state-of-the-art methods.