Spectrum Feature Retrieval and Comparison of Remote Sensing Images Using Improved ISODATA Algorithm

编号 zgly0000348816

文献类型 期刊论文

文献题名 Spectrum Feature Retrieval and Comparison of Remote Sensing Images Using Improved ISODATA Algorithm

作者 刘磊  敬忠良  肖刚 

作者单位 Inst.ofAerospaceInformationandControl 

母体文献 Journal of Shanghai Jiaotong University;上海交通大学学报: 英文版 

年卷期 2004,9(3)

页码 60-64,79

年份 2004 

分类号 TP751.2 

关键词 ISODATA  光谱特征检索  遥感图像  图像处理  K-L变换 

文摘内容 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。