Pose Estimation for SAR Automatic Target Recognition
نویسندگان
چکیده
This paper explores statistically pose estimation in SAR ATR. Based on our proposed method of maximizing mutual information, further experiments are conducted by using the new MSTAR/ IU Database. Different pose estimator topologies and training criteria are also employed. Experimental results show that our proposed method reduces the average pose estimation error to within 10 degrees of the true pose.
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