Direction-Changed Tracing Method for Liner Objects Skeleton from Remotely Sensed Image
遥感图象中线状目标骨架提取的变向跟踪法

The problem of liner objects skeleton detection from remotely sensed image is an interesting and challenging one in the correlated field. In order to extract the linear objects skeleton speedily and efficaciously from remotely sensed image, this paper presents a detailed summary of the properties and basic facts about direction changed skeleton tracing method of liner objects based on its various appearance in image. Geometric continuity constraints are of special interest, as they appear to satisfy visual needs of the human observers. Examination is made of the many different liner objects conditions. Experiments detected large numbers of complex properties of linear object skeleton show that the result approximate to manpower distinguish, at the same time this algorithm is better in terms of accuracy, robustness and the computational speed is quite rapid. So it is worth discussing for craft brother.