A novel II-CFAR detector for ROI extraction in SAR image

The region of interest (ROI) contains a potential target in synthetic aperture radar (SAR) image. Picking out ROI chips before target recognizing will accelerate the whole automatic target recognition (ATR) system. This paper improves the traditional method to obtain ROI chips through constant false alarm rate (CFAR) algorithm. With the help of integral image, we reduce redundant calculation in traditional cell average CFAR (CA-CFAR) to increase its computing speed, which is denoted as the Integral Image CFAR (II-CFAR). Finally we compare the ROI extraction results of the traditional CA-CFAR and the proposed II-CFAR on the same real SAR image. The results show that the II-CFAR detector can obtain the same detection performance with the CA-CFAR detector but with a much shorter running time.