Multi Scale C-V Model Level Set Method For Fast Coastline Extraction With Sar Imagery

This paper proposes a fast, high-precision of multi-scale C-V model (M-C-V)method for coastline extraction with SAR imagery. (1) The multi-scale technology to the traditional C-V model is introduced that reduces the image size and obtains a series of images under different spatial resolution; (2) Low-pass filter polishes small scale image sequence is used, which is easy to form the image sequence with the relatively smooth boundary; (3) The image sequence in different scales and polished degree, splits the coastline based on the C-V model of level set one by one. In the division of coastline, high spatial resolution image inherits the boundary which is extracted by low spatial resolution images in the higher level and refines coastline further through the C-V model. Experiments show that the method accelerates the acquisition of initial level set formation, shortens the time of the extraction of coastline, at the same time, removes the non-coastline body part and improves the identification precision of the main body coastline, which makes the extracted process of coastline robust.