This paper introduces level set theory to the feature extraction of coastline contour information. In this paper, the author first reviewed the related research work in this field and describes the level set theory and its applications, and then proposed the coastline contour segmentation algorithm and area smooth nonparametric density estimation before using it to extract different kinds of coastlines. To illustrate the effectiveness of the level set method (LSM) algorithm in coastline feature extracting, this paper compared the LSM algorithm and gradient descent method to demonstrate the coastline feature extraction efficiency of LSM. The optical and remote-sensing images used in experimental tests were of different contour features, multi-resolution and different point of views. The results achieved show that the level set algorithm is robust in analyzing characteristics of the coast complex texture even with the influence of noise. Also, it has strong sensitivity in edge information detection and is capable of quickly and effectively extracting features from the boundary information.
刘鹏程. 基于水平集理论的海岸线轮廓特征提取[J]. 国土资源遥感, 2015, 27(2): 75-79.
LIU Pengcheng. Feature extraction of coastline contour based on level set theory. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(2): 75-79.
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2015, Vol. 27 
