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面向对象的遥感影像水体信息提取
引用本文:王亚飞,刘文军. 面向对象的遥感影像水体信息提取[J]. 河南科学, 2012, 30(5): 589-591
作者姓名:王亚飞  刘文军
作者单位:1. 东华理工大学测绘工程学院,南昌,330013
2. 昆明理工大学国土资源工程学院,昆明,650093
摘    要:基于面向对象的遥感影像分析方法,在不同尺度分割遥感影像的基础上,根据影像对象的特征,如亮度、光谱、归一化植被指数(NDVI)、面积和上下文等信息,对水体信息进行了提取和分类.结果显示:与传统的基于像元的分类方法相比,面向对象的遥感影像信息提取方法具有很好的效果,同时也提高了信息提取的精度.

关 键 词:面向对象  遥感影像  信息提取  eCognition

Object-oriented Water Information Extraction From Remote Sensing Image
Wang Yafei , Liu Wenjun. Object-oriented Water Information Extraction From Remote Sensing Image[J]. Henan Science, 2012, 30(5): 589-591
Authors:Wang Yafei    Liu Wenjun
Affiliation:1.Surveying and Mapping Engineering,East China Institute of Technology,Nanchang 330013,China; 2.Faculty of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093,China)
Abstract:In order to extract water body information from remote sensing images,we applies object-oriented remote sensing image analysis.Then under multi-scale condition,we carried out the water body information and execute classification based on the characteristics of the image object,such as brightness,spectrum,normalized difference vegetation index(NDVI),area and context information.The analysis result demonstrates that the method of object-oriented remote sensing image information extraction has a good effect,compared with the traditional pixel-based classification methods,also improve the accuracy of information extraction.
Keywords:object-oriented  remote sensing image  information extraction  eCognition
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