Research and Analysis of Hyperspectral Remote Sensing Image Classification Algorithms

被引：0
|
作者：
Rong, Ren [1 ]
机构：
[1] Beifang Univ Nationalities, Sch Comp Sci & Engn, Yinchuan 750021, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
hyperspectral remote sensing; classification algorithms; pixel spectral feature;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Hyperspectral remote sensing technology is applied to many fields because of its super-multiband, high resolution and vast information. Its classification technology is a research hotspot now. Abundant information is not utilized fully in traditional remote sensing image classification method; so many improved algorithms are disappeared in order to enhance efficiency, accuracy and intelligence. The hyperspectral remote sensing image processing flow is introduced. Merit, demerits and development tendency of classification method are clarified.
引用
收藏
页码：3960 / 3964
页数：5
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