CHARACTERISING ELEMENTS OF URBAN MORPHOLOGY FROM HIGH RESOLUTION OPTICAL REMOTE SENSING IMAGES

摘要

Research into ways of characterising or inferring elements of urban morphology by image analysis of high spatial resolution images from earth-observing satellites shows promise. Road networks form an important component of urban morphology and have been a focus of research in image analysis of cities. Automatic identification of road networks without user intervention and ancillary data like recent maps, however, has not been very successful so far, due to variations in surface illumination, width, surface material, etc. In other words, the local spectral and geometric characteristics of roads are not sufficiently distinctive to separate them from background structures. This paper endeavors to develop a method for the detection of roads in urban scenes of high resolution satellite imagery based on a multiscale feature tracking version of derivative-of-Gaussian based line detector.