海岸带遥感微尺度信息及其组合挖掘提取和方法应用研究

基于海岸带高分辨率信息需求理论支持下的信息挖掘技术,面对我国海岸带可持续发展的需求,以中高分辨率遥感影像为数据源,以滩涂、水边线、海堤、养殖场等海岸带地物为专题信息挖掘提取实例,建立了"像元→基元→目标"的识别方法体系,针对面向对象的信息提取分析方法进行研究。即首先通过采用光谱和形状相结合的分割算法来获取内部特征相对均一的一系列基元对象,再通过对基元对象的典型特征进行分析和判别来实现目标提取。结果表明,该方法是可行的,它提高了遥感影像信息的识别精度,为动态性很强的海岸带地物信息挖掘提取提供了研究思路,在海岸带监测、管理、开发和利用,编制现实性很强的海岸带专题图等应用领域展现了该研究示例的科学性和实际意义。

The research on extracting method of microscale remote sensing information combination and application in coastal zone

Due to the need of rapid and sustainable development in China's coastal zones,the high-resolution information theory using data mining technology becomes an urgent research focus.However,the traditional pixel-based image analysis methods cannot meet the needs of this development trend.Attempt is to present an information extraction approach in terms of image segmentation based on an object-oriented algorithm for high-resolution remote sensing images.The aim of research is to establish an identification syst...