Tezture Feature Coding Method for SAR Automatic Target Recognition with Adaptive Boosting

摘要：

In this paper,the applicability of texture feature coding method (TFCM) to synthetic aperture radar (SAR) automatic target recognition (ATR) is studied. The TFCM cooccurrence matrix (CM) is used as an additional image feature for adaptive boosting (AdaBoost) algorithm which uses originally 2D-DFT coefficients as an image feature. The TFCM CM extracts the connected texture information from the image while 2D-DFT gives the value of the spatial frequency components. The TFCM CM is invariant under the rotation of images.With these characteristics,the TFCM CM can discriminate a confused target which is not classified properly using 2D-DFT. The TFCM CM is combined with 2D-DFT in fusion process of the AdaBoost algorithm.In experimental results,it is shown that the correct-classification probability of the proposed scheme is larger than that of the conventional scheme which uses only 2D-DFT and raw image as image features.

关键词： Tezture feature coding method adaptive boosting SAR automatic target recognition

作者: Cheol Jeong Minjun Cha Hyung-Myung Kim

作者单位: Department of Electrical Engineering,KAIST,Daejeon,Republic of Korea

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 473-476

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）