基于漫水填充算法提取太湖水边线研究

Waterline extraction for Taihu lake based on flood fill algorithm

随着遥感影像分辨率的提高,遥感影像被越来越广泛地应用于地物特征提取。水边线是水陆交界线,是遥感影像上重要的特征线。准确、高效的水边线的提取,对于后续的海岸线提取、潮滩地形建模、影像定位、岸线变迁等的研究具有重要意义,同时对于沿海地区的经济开发和海域的使用管理也具有重要参考价值。针对遥感影像弱水边缘水边线处的灰度和色度变化甚微,为达到在水陆边界模糊条件下自动提取滩涂弱水边界的目的,依据漫水填充算法原理,利用Python程序软件,建立漫水填充算法模型,提取遥感影像中的水边线。

With the improvement of remote sensing image resolution,remote sensing image is more and more widely used in feature extraction.Water boundary line is the boundary between land and water,and it is an important characteristic line in remote sensing image.Accurate and efficient water edge extraction is of great significance for subsequent research on coastline extraction,tidal beach terrain modeling,image positioning,shoreline changes,etc.Meanwhile,it is also of great reference value for the economic development of coastal areas and the use and management of sea areas.The grayscale and chroma of the water edge of the remote sensing image change very little.In order to achieve the purpose of automatically extracting the weak water edge of the tidal flat under the condition of fuzzy boundary between land and water,based on the principle of overflowing water filling algorithm,this paper uses Python program software to establish the overflowing water filling algorithm model to extract the water edge of remote sensing image.