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高光谱遥感影像支持向量机分类中噪声影响的研究
引用本文:王小美,逄云峰,杜培军,谭琨,李光丽. 高光谱遥感影像支持向量机分类中噪声影响的研究[J]. 测绘科学, 2011, 36(2): 139-141,177
作者姓名:王小美  逄云峰  杜培军  谭琨  李光丽
作者单位:中国矿业大学/国土环境与灾害监测国家测绘局重点实验室;龙口矿业集团生产处;
基金项目:国家自然科学基金项目(40871195); 教育部高校博士学科点专项基金项目(20070290516);教育部留学归国人员科研启动基金项目
摘    要:
为了验证噪声对支持向量机分类器性能的影响,对"SVM可以有效用于含噪声和不确定性数据"这一观点进行定量分析评价,采用国产OMISII传感器获得的高光谱遥感数据进行了试验,为了更好地比较SVM分类器的抗噪性,先对原始数据进行支持向量机分类,然后在高光谱遥感影像中人为添加不同比例的椒盐噪声和条带噪声,然后进行支持向量机分类...

关 键 词:高光谱遥感  支持向量机  分类  噪声

Impacts of noises on the performance of support vector machine classifier for hyperspectral remote sensing image
WANG Xiao-mei,PANG Yun-feng,Du Pei-jun,TAN Kun,LI Guang-li. Impacts of noises on the performance of support vector machine classifier for hyperspectral remote sensing image[J]. Science of Surveying and Mapping, 2011, 36(2): 139-141,177
Authors:WANG Xiao-mei  PANG Yun-feng  Du Pei-jun  TAN Kun  LI Guang-li
Affiliation:①(①Key Laboratory for Land Environment and Disaster Monitoring of SBSM,China University of Mining and Technology,Jiangsu Xuzhou 22116,China;②Department of Production,Longkou Mining Group,Shangdong Longkou 265700,China)
Abstract:
The performance of SVM for hyperspectral image classification has been examined from a wide range of perspectives.This paper aims to evaluate the responses of SVM classifier to noises or uncertainty in original data,or the impacts of noise on SVM classifier.The research was undertaken using hyperspectral image captured by OMISII sensor with 64 bands.Firstly,the original data were classified by SVM.Two types of noises,salt-pepper noise and striping,were added into the original data and then the mixed data we...
Keywords:hyperspectral remote sensing  support vector machine  classification  noise  
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