In order to improve the recognition accuracy and computation efficiency in cloud detection to meteorological imagery,a cloud detection method based on density clustering support vector machine(DC-SVM) is proposed.The scheme of feature extraction and selection for meteorological imagery is analyzed,and the classification sample set which discriminates cloud form underlying surface is established.In the learning stage of SVM,the critical training samples are selected to reduce the negative impact of noises an...