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面向分类的高光谱遥感影像数据特性的研究
引用本文:辛宪会,赵泳,翟辉琴,叶秋果.面向分类的高光谱遥感影像数据特性的研究[J].海洋测绘,2005,25(6):22-25.
作者姓名:辛宪会  赵泳  翟辉琴  叶秋果
作者单位:1. 海军海洋测绘研究所,天津,300061
2. 解放军信息工程大学,测绘学院,河南,郑州,450052
3. 68029部队,甘肃,兰州,730020
基金项目:国家863项目(2002AA783056).
摘    要:分析了高光谱遥感的特点、影像数据的应用现状,针对高光谱遥感影像处理、分类的现状及遇到的困难,对高光谱遥感影像数据的分类特性进行了深入的分析总结,对高光谱遥感影像分类的支持向量机方法进行了系统研究,并分析指出了支持向量机分类法的优越性,最后提出了需要进一步研究的问题.

关 键 词:高光谱遥感  高光谱影像  高维空间  Hughes现象  支持向量机
文章编号:1671-3044(2005)06-0022-04
收稿时间:2005-08-01
修稿时间:2005-09-28

Classification Oriented Research on the Characters of Hyperspectral Remote Sensing Image Data
XIN Xian-hui,ZHAO Yong,ZHAI Hui-qin,YE Qiu-guo.Classification Oriented Research on the Characters of Hyperspectral Remote Sensing Image Data[J].Hydrographic Surveying and Charting,2005,25(6):22-25.
Authors:XIN Xian-hui  ZHAO Yong  ZHAI Hui-qin  YE Qiu-guo
Institution:1. Naval Institute of Hydrographic Surveying and Charting, Tianjin,300061 ; 2. Institute of Surveying and Mapping,Information Engineering University ,Zhengzhou, Henan ,450052; 3. 68029 Troops, Lanzhou, Gansu,730020
Abstract:This paper discusses the characters of hyperspectral remote sensing,the application of image data and the bottle problems in the area of hyperspectral image processing and classification methods.Then it presents a thorough investigation into the hyperspectral remote sensing image data and summarizes the high dimensional spectral(data's) performance in terms of classification.In the third section,it makes a systematic research on the support vector machine(SVM) classification method and shows the advantages as well.Lastly,the paper puts forward several problems to be researched in future.
Keywords:hyperspectral remote sensing  hyperspectral remote sensing image  high dimensional space  Hughes phenomenon  support vector machine(SVM)
本文献已被 CNKI 维普 万方数据 等数据库收录!
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