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《Remote Sensing Technology and Application》 2012-01
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Cloud Classification Algorithm for Optical Remote Sensing Image

Zhao Min,Zhang Rong,Yin Dong,Wang Kui(Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027,China)  
Cloud shelter in the optical remote sensing image may cause low data utilization rate and affect the subsequent process of remote sensing image such as target identification,so the research of real time and efficient cloud detection method is very important.We proposed a high speed and high accuracy classification algorithm for the cloud classification based on the combination of Support Vector Machine(SVM) and unsupervised clustering algorithm.This method uses the ISODATA clustering results to select the training set for SVM in order to reduce the training time of SVM.It takes advantage of the high accuracy capability of SVM and the fast clustering speed of ISODATA.The experiment shows that the SVM training time in the proposed method is greatly lower than it in the method using SVM alone,and the proposed method can improve the detection rate.
【CateGory Index】: TP751
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