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《Science of Surveying and Mapping》 2012-04
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Classification of China small satellite remote sensing image based on random forests

LIU Yi①,DU Pei-jun①②,XIA Jun-shi①,LIU Si-cong①(Key Laboratory for Land Environment and Disaster Monitoring of State Bureau of Surveying and Mapping,China University of Mining and Technology,Jiangsu Xuzhou 221116,China)  
Small satellite remote sensing,characterized by wide coverage,all weather observation ability,and flexible operation mode,plays a significant role in resource and environment monitoring,emergency response,and after-disaster relief and rebuilding.As the foundation of remote sensing image processing and application,small satellite image classification attracts more and more attention of researchers,with the increasing number of small satellite sensors and the widening applications in recent years.Because of the limitation of traditional classifiers and the difficulty of selecting a strongest classifier in practical use,image classification using single classifier is always not satisfactory.Aiming to overcome this problem,Random Forests,an advanced classifiers ensemble method,was employed to small satellite remote sensing image classification in the paper.Classification results of HJ-1 and BJ-1 images by random forests demonstrated that random forests could outperform conventional MLC and SVM in terms of stability,computation speed and classification accuracy.
【Fund】: 国家自然科学基金资助项目(40871195)
【CateGory Index】: S771.8
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Chinese Journal Full-text Database 2 Hits
1 YI Ling,WANG Xiao,LIU Bin(Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China);RESEARCHES ON HJ-1 SATELLITE IMAGE QUALITY AND LAND USE CLASSIFICATION PRECISION[J];Remote Sensing for Land & Resources;2009-03
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Chinese Journal Full-text Database 6 Hits
1 WANG Ai-hua1,LI Li1,CHI Yao-bin1,2,WANG Zhi-yong3,ZHOU Hui-zhen1(1.Beijing Landview Mapping Information Technology Co.,Ltd.,Beijing 100096;2.Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101;3.Twenty First Century Aerospace Technology Co.,Ltd,Beijing 100096);Study on Monitoring of Desert and Sandy Desertification Land in China Using Images of Beijing-1 Small Satellite[J];Scientia Geographica Sinica;2010-03
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Chinese Journal Full-text Database 4 Hits
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