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高光谱影像的M-ICA地物识别算法与应用
引用本文:林志垒,晏路明.高光谱影像的M-ICA地物识别算法与应用[J].地球信息科学,2011,13(1):126-132.
作者姓名:林志垒  晏路明
作者单位:福建师范大学地理科学学院;
基金项目:国家社会科学基金项目(03BTJ004); 福建省教育厅A类基金项目(JA07037)资助
摘    要:高光谱遥感能以纳米量级宽度的窄波段及多达数百个的波段,对目标进行连续的光谱成像,但其海量数据及相邻波段高度相关造成的数据冗余却制约着它的应用.因此,对高光谱遥感影像分类须进行有效的处理、寻找最优特征,以增强地物的最大可分性.本文首先针对EO-4 Hyperion高光谱影像波段维数高,相关性强和数据量大等特点,利用独立成...

关 键 词:高光谱影像  特征提取  M-ICA  Hyperion
收稿时间:2010-09-27;

Object Recognition Algorithm and Its Application on Hyperspectral Imagery Based on M-ICA
LIN Zhilei,YAN Luming.Object Recognition Algorithm and Its Application on Hyperspectral Imagery Based on M-ICA[J].Geo-information Science,2011,13(1):126-132.
Authors:LIN Zhilei  YAN Luming
Institution:LIN Zhilei,YAN Luming(School of Geographical Sciences,Fujian Normal University,Fuzhou 350007,China)
Abstract:Hyperspectral remote sensing is a frontier technology that is currently being investigated by researchers and scientists with regard to the detection and identification of minerals,vegetation,crops,ocean and other backgrounds.Hyperspectral remote sensing imagery has tens or even several hundreds of bands with bandwidth of nanometer level and contains abundant spectral information,but its redundancy made by mass data and high correlation in adjacent bands restricts the application of hyperspectral remote sen...
Keywords:hyperspectral imagery  feature extraction  M-ICA  Hyperion  
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