Few Samples of SAR Automatic Target Recognition Based on Enhanced-Shape CNN by Mengmeng Huang, Fang Liu, Xianfa Meng

“…In SAR field, the SAR automatic target recognition (SAR ATR) is a significant issue. …”
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Pose Estimation of Uncooperative Unknown Space Objects from a Single Image by Xiaoyuan Ren, Libing Jiang, Zhuang Wang

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Time-Frequency Feature Extraction of HRRP Using AGR and NMF for SAR ATR by Xinzheng Zhang, Zhouyong Liu, Shujun Liu, Guojun Li

“…The results support the effectiveness of the proposed technique for SAR automatic target recognition (ATR).…”
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Multiview ISAR Imaging for Complex Targets Based on Improved SBR Scattering Model by Tiantian Feng, Lixin Guo

“…Transforming each subaperture ISAR image to the global coordinate system and summing them together will produce the high-resolution ISAR image that is meaningful for the database set up for synthetic aperture radar automatic target recognition (SAR ATR). The final simulation ISAR images further validate the great performance of our scattering calculation algorithm and ISAR imaging method.…”
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Sparse Representation Based SAR Vehicle Recognition along with Aspect Angle by Xiangwei Xing, Kefeng Ji, Huanxin Zou, Jixiang Sun

“…As a method of representing the test sample with few training samples from an overcomplete dictionary, sparse representation classification (SRC) has attracted much attention in synthetic aperture radar (SAR) automatic target recognition (ATR) recently. In this paper, we develop a novel SAR vehicle recognition method based on sparse representation classification along with aspect information (SRCA), in which the correlation between the vehicle’s aspect angle and the sparse representation vector is exploited. …”
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Simultaneous Classification of Objects with Unknown Rejection (SCOUR) Using Infra-Red Sensor Imagery by Adam Cuellar, Daniel Brignac, Abhijit Mahalanobis, Wasfy Mikhael

“…Towards this end, we train and test our method on a public domain medium-wave infra-red (MWIR) dataset provided by the US Army for the development of automatic target recognition (ATR) algorithms. The results of this experiment show that the proposed method outperforms other state-of-the-art methods in rejecting the unknown target types while accurately classifying the known ones.…”
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