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基于形态学色差的彩色遥感影像水域提取
引用本文:张朝阳,冯伍法,张俊华,任利华.基于形态学色差的彩色遥感影像水域提取[J].海洋测绘,2006,26(5):58-60.
作者姓名:张朝阳  冯伍法  张俊华  任利华
作者单位:解放军信息工程大学,测绘学院,河南,郑州450052
摘    要:基于形态学变换的遥感图像分类提取技术在影像识别中得到了广泛应用,也取得了令人满意的效果。但在处理多光谱、高光谱影像中,由于较少考虑色差信息而使分类识别受到限制。本文在分析形态学算子特点的基础上,提出了基于形态学变换色差的水域特征提取策略。实验表明,该算法具有明显的优越性和较强的适应性。

关 键 词:遥感影像  形态学算子  色差  特征提取
文章编号:1671-3044(2006)05-0058-03
收稿时间:2006-01-12
修稿时间:2006-03-23

The Waters Feature Extraction from the RS Color Image Based on the Morphological Chromatic Aberration
ZHANG Zhao-yang,FENG Wu-fa,ZHANG Jun-hua,REN Li-hua.The Waters Feature Extraction from the RS Color Image Based on the Morphological Chromatic Aberration[J].Hydrographic Surveying and Charting,2006,26(5):58-60.
Authors:ZHANG Zhao-yang  FENG Wu-fa  ZHANG Jun-hua  REN Li-hua
Institution:Institute of Surveying and Mapping, Information Engineering University, Zhengzhou, Henan ,450052
Abstract:The technology of remote sensing image classification and extraction based on morphological transformation has been widely used in image recognition and meets the requirement in a sense.However,in the processing of multispectral and hyperspectral,the usage of this technology has been restricted because of the unconsidering the chromatic aberration.This paper analyses the morphological operator,and thus puts forward the chromatic aberration waters feature extraction strategy based on the morphological transformation.The result of experiment indicates that the arithmetic has obvious advantage and adaptability.
Keywords:remote sensing image  morphological operator  chromatic aberration  feature extraction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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