In this report, we propose a CNN called SAR ATR with verification support (SAVERS), which performs region-wise (i.e. coarse) segmentation and pixel-wise segmentation. SAVERS discriminates between target and non-target, and classifies multiple target classes and non-target class by coarse segmentation.
We proposed CNN for end-to-end SAR ATR that input arbitrary size SAR image of multiple targets and outputs the position, class, and pose of each detected target as SAR ATR image. In this paper, we propose a method to improve posture estimation performance of end-to-end SAR ATR.
In this report, we propose a novel CNN for end-to-end ATR from SAR imagery. The CNN named VersNet inputs a SAR image of arbitrary sizes with multiple classes and multiple targets, and outputs a SAR ATR image representing the position, class, and pose of each detected target.
