Image processing system based on space transformation
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12B) 610-615
School of Computer and Control Engineering, North University of China, Taiyuan, Shanxi, China, 030051
This paper proposes a novel method of shadow fast detection and recovery of remote sensing image based on color spatial alternation in light of the analysis and research on experimental data of remote sensing image on different color space. Compared to traditional shadow detection algorithm on the basis of pixel, this method enhances the precision and scope of application of detection. Meanwhile, on the recovery of shadow information, it is able to recover shadow information rapidly by analyzing the statistical characters of image element within the shadow. This method is to feature high speed, high automation and wide scope of application. Numerous tests on the application of high spatial remote sensing image show that this method has brought about satisfying results.