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基于K-L变换的多光谱遥感图像检索方法研究
引用本文:刘广社,唐红梅.基于K-L变换的多光谱遥感图像检索方法研究[J].北京测绘,2012(5):56-59.
作者姓名:刘广社  唐红梅
作者单位:黄河水利职业技术学院测绘工程系,河南开封,475004;黄河水利职业技术学院测绘工程系,河南开封,475004
摘    要:在遥感图像检索中,光谱特征的应用最为广泛。本文研究了基于光谱特征进行遥感图像检索的方法。针对目前应用越来越广泛的多光谱、高光谱遥感图像波段多的特点,提出了基于K-L变换的检索方法,将多维图像降维处理,在此基础上提取遥感图像的光谱特征,通过检索图像与目标图像的光谱特征对比实现多光谱遥感图像的检索,并通过实验验证了本文方法的有效性。

关 键 词:摄影测量与遥感  遥感图像检索  光谱特征  多光谱图像  K-L变换

Multi-spectral Remote Sensing Image Retrieval Based on K-L Transformation
LIU Guang-she,TANG Hong-mei.Multi-spectral Remote Sensing Image Retrieval Based on K-L Transformation[J].Beijing Surveying and Mapping,2012(5):56-59.
Authors:LIU Guang-she  TANG Hong-mei
Institution:(Yellow River Conservancy Technical Institute,Kaifeng,Henan,475004,China)
Abstract:The spectral character is the basic character in remote sensing images,and is naturally being used the most widely in remote sensing image retrieval.Considering the characteristic of multi-spectral or hyper-spectral remote sensing images,K-L transformation based image retrieval method is proposed in this paper.Instead of original multi-spectral image,image retrieval can be carried out using the histogram of the first three principal component images;the distance of the remote sensing images can be calculated after extracting the spectral character.This is also proved to be effective and time saving by the experiments in this paper.
Keywords:photogrammetry and remote sensing  remote sensing image retrieval  spectral character  multi-spectral images  K-L transformation
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