Object detection capability evaluation for SAR image

The existing SAR image quality assessment method could not be effectively used for assessing the performance of object detection. Thus, it is difficult to select SAR images and corresponding detection algorithms for SAR object detection. By analyzing the relationship between object detection results and basic image quality indicators, this paper studies the image quality assessment for image object detection. Based on the concept of “application suitability”, basic quality indicators including radiometric resolution, spatial resolution, PSLR and ISLR are integrated into a single indicator called Detection Index, which is able to comprehensively evaluate the degree to which SAR image is suitable for object detection tasks. Experimental results on aircraft detection with single scene show the effectiveness of the proposed model for SAR image capability evaluation in object detection applications.