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| CrossRef Text and Data Mining |
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| SAR Recognition of Target Variants Using Channel Attention Network without Dimensionality Reduction |
| Ji-Hoon Park, Yeo-Reum Choi, Dae-Young Chae, Ho Lim |
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J. KIMS Technol. 2022;25(3):219-230. Published online June 5, 2022 DOI: https://doi.org/10.9766/KIMST.2022.25.3.219 |
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SAR Recognition of Target Variants Using Channel Attention Network without Dimensionality Reduction Journal of the Korea Institute of Military Science and Technology. 2022;25(3):219-230  Multi-Scale Capsule Network with Coordinate Attention for SAR Automatic Target Recognition 2021 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). 2021; Channel Attention Module in Convolutional Neural Network and Its Application to SAR Target Recognition Under Limited Angular Diversity Condition Journal of the Korea Institute of Military Science and Technology. 2021;24(2):175-186 SAR Image Target Detection and Recognition based on Deep Network 2019 SAR in Big Data Era (BIGSARDATA). 2019; A hierarchical receptive network oriented to target recognition in SAR images Pattern Recognition. 2022;126:108558 Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2020; SAR image target recognition based on senet depth separable convolutional neural network 2021 2nd China International SAR Symposium (CISS). 2021; Supervised dimensionality reduction of proportional data using mixture estimation Pattern Recognition. 2020;105:107379 Blind image quality assessment with channel attention based deep residual network and extended LargeVis dimensionality reduction Journal of Visual Communication and Image Representation. 2021;80:103296 SAR Target Recognition and Angle Estimation by Using Rotation-Mapping Network 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. 2021; |
