Cellular automata approach to extract shoreline from remote sensing imageries and its application

Feng Yongjiu; Han Zhen

doi:10.11834/jig.20120320

Views : 0 下载量: 189 CSCD: 0

PDF
Export
Share
Collection
Album

Cellular automata approach to extract shoreline from remote sensing imageries and its application
Vol. 17, Issue 3, Pages: 441-446(2012)
Published：2012
DOI： 10.11834/jig.20120320
稿件说明：

移动端阅览

DOI：

Feng Yongjiu, Han Zhen. Cellular automata approach to extract shoreline from remote sensing imageries and its application[J]. Journal of Image and Graphics, 2012, 17(3): 441-446. DOI： 10.11834/jig.20120320.

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Landsat ETM+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。

Abstract

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.