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Spectrum Feature Retrieval and Comparison of Remote Sensing Images Using Improved ISODATA Algorithm
作者姓名:刘磊  敬忠良  肖刚
作者单位:Inst.ofAerospaceInformationandControl,SchoolofElectronicsandInformationTechnology,ShanghaiJiaotongUniv.,Shanghai200030,China
基金项目:China National‘ 863’ Project( 2 0 0 1AA13 5 0 91) ,Shanghai Key Scientific Project( 0 2 DZ15 0 0 1) ,Aviation Science Foundation ( 0 2 D5 70 0 3 ) and ChinaPH.D Disci-pline Special-Foundation( 2 0 0 2 0 2 480 2 9)
摘    要:Due to the large quantities of data and high relativity of the spectra of remote sensing images, K-L transformation is used to eliminate the relativity. An improved ISODATA (Interative Self-Organizing Data Analysis Technique A) algorithm is used to extract the spectrum features of the images. The computation is greatly reduced and the dynamic arguments are realized. The comparison of features between two images is carried out, and good results are achieved in simulation.

关 键 词:ISODATA  光谱特征检索  遥感图像  图像处理  K-L变换

Spectrum Feature Retrieval and Comparison of Remote Sensing Images Using Improved ISODATA Algorithm
LIU Lei ,JING Zhong-liang,XIAO Gang.Spectrum Feature Retrieval and Comparison of Remote Sensing Images Using Improved ISODATA Algorithm[J].Journal of Shanghai Jiaotong university,2004,9(3):60-64,79.
Authors:LIU Lei  JING Zhong-liang  XIAO Gang
Institution:Inst.of Aerospace Information and Control,School of Electronics and Information Technology,Shanghai Jiaotong Univ.,Shanghai 200030,China
Abstract:Due to the large quantities of data and high relativity of the spectra of remote sensing images, K-L transformation is used to eliminate the relativity. An improved ISODATA(Interative Self-Organizing Data Analysis Technique A) algorithm is used to extract the spectrum features of the images. The computation is greatly reduced and the dynamic arguments are realized. The comparison of features between two images is carried out, and good results are achieved in simulation.
Keywords:remote sensing image  spectrum feature retrieval  ISODATA
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