Cellular automata approach to extract shoreline from remote sensing imageries and its application
海岸线遥感信息提取的元胞自动机方法及其应用

Extraction shoreline information from remotely sensed imagery is important for islands investigation With remote sensing and the coastal comprehensive management. In order to accurately extract the information of shorelines,a new algorithm was developed based on a "bottom-up" approach cellular automata (CA) by considering the direction information of images. The algorithm was developed under a Matlab environment,which includes functions such as mean smooth,land/water segmentation,discrete objects removal,and shoreline tracing.Using the proposed algorithm,the shorelines of an artificially coast at the Changxing-Hengsha islands of Shanghai and a muddy coast at Chongming Dongtan of Shanghai were extracted from Landsat ETM+ images.The results demonstrate that the CA based shoreline extractor can accurately detect shoreline information of different coast types (e.g.artificially coast and muddy coast) from remote sensing images.