Geometric Parameters Extraction of Building Based on Shape Prior

Due to algorithms for buildings' geometric parameters extraction from single high remote sensing image usually suffer from disturbances of background, noise and intensity similarity, resulting in wrong extraction results. In this paper, a novel variational level set model is proposed based on shape prior which integrates edge, gray, and shape prior including roof and facade, to extract buildings' geometric parameters from a single high resolution remote sensing image. Experimental results show that the proposed method can extract buildings' geometric parameters accurately. Moreover, it has strong robustness with respect to the disturbance of facade due to the more sufficient utilization of the whole shape prior.