摘要
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。
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 aztificially 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.
出处
《中国图象图形学报》
CSCD
北大核心
2012年第3期441-446,共6页
Journal of Image and Graphics
基金
上海市教育委员会科研创新项目(11YZ154)
上海市科学技术委员会重点项目(08230510700)
上海海洋大学校博士启动基金暨环境工程重点学科基金(A-2400-10-0134)
关键词
海岸线提取
元胞自动机
方向信息
遥感影像
shoreline extraction
cellular automata
direction information
remote sensing imagery
