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从遥感资料中准确提取海岸线信息,是海岛海岸带遥感调查与海岸带综合管理的重要内容。为了对多类型海岸线进行准确提取,基于“自下而上”演化的元胞自动机方法,结合遥感图像方向信息权重,构建了一种新的岸线提取算法,并在Matlab环境下开发实现包括均值平滑、海陆分离、离散地物去除和目标追踪的功能。以LandsatETM+遥感影像作为数据源,分别对人工海岸上海市长兴岛-横沙岛和淤泥质海岸上海市崇明东滩岸线进行了检测,验证了该岸线信息提取的元胞自动机算法。研究表明,基于元胞自动机的岸线提取方法,能够以较高精度提取人工海岸和淤泥质海岸的岸线信息。
The accurate extraction of coastline information from remote sensing data is an important part of remote sensing survey and integrated coastal zone management of the island coast. In order to accurately extract multi-type coastlines, a new coastline extraction algorithm based on the cellular automata method of “bottom-up ” evolution and the weight of direction information of remote sensing images was developed and developed in Matlab Including the mean smoothing, separation of land and sea, the removal of discrete features and target tracking function. Taking Landsat ETM + remote sensing image as data source, the coastline of Changxing Island - Hengsha Island and the mudflat coast of Shanghai on the artificial coast were tested respectively. The Cellular Automata algorithm was verified. Research shows that the coastline extraction method based on cellular automaton can extract shoreline information of artificial coast and muddy coast with high accuracy.