关键词: SAR图像, 特征选择, 目标识别和分类

Abstract: Hu moment invariants，describe the characteristics of the region，are widely used in pattern recognition.However，due to image noise，especially speckle noise in SAR images，Hu moment invariants no longer maintain its perfect performance.Accordingly，in this paper，a novel feature vector which combines Hu moment invariants and four affine moment invariants and gray peak，mean and variance coefficient of target area in SAR images is proposed.The feature vector not only describes target regional shape but also characterizes gray statistical distribution of local target region in SAR images.The simulations of target recognition and classification in two different resolution SAR images preferably indicate that the feature vector is effective and acquires high target recognition performance.

Key words: SAR image, feature extraction, classification and recognition