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.