Abstract
For panchromatic CCD optical remote sensing satellite imaging,a cloud detection method in high-resolution remote sensing image based on multi-attribute fusion is proposed.First,according to the physics and imaging features,the feature parameters are extracted,and a concept of separable degree is proposed for feature selection.Then,according to the distribution differences of the samples,the LDA algorithm is brought for reducing the dimension of the feature space.At last,a SVM classifier is used for cloud detection.The experimental results show that the proposed method is suitable for high-resolution panchromatic remote sensing image with different imaging platform,and it has a high detection probability and a low false alarm probability,and a high efficiency.
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