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Original Articles

SAR ATR based on displacement- and rotation-insensitive CNN

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Pages 895-904 | Received 03 Feb 2016, Accepted 27 May 2016, Published online: 20 Jun 2016

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Read on this site (7)

Moussa Amrani, Abdelatif Bey & Abdenour Amamra. (2022) New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis. International Journal of Remote Sensing 43:15-16, pages 5800-5819.
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Haibo Gao, Shuangchun Peng & Wenjuan Zeng. (2019) Recognition of targets in SAR images using joint classification of deep features fused by multi-canonical correlation analysis. Remote Sensing Letters 10:9, pages 883-892.
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Guoquan Huang, Xinggao Liu, Junpeng Hui, Ze Wang & Zeyin Zhang. (2019) A novel group squeeze excitation sparsely connected convolutional networks for SAR target classification. International Journal of Remote Sensing 40:11, pages 4346-4360.
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Zhuangzhuang Tian, Liping Wang, Ronghui Zhan, Jiemin Hu & Jun Zhang. (2018) Classification via weighted kernel CNN: application to SAR target recognition. International Journal of Remote Sensing 39:23, pages 9249-9268.
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Meiting Yu, Lingjun Zhao, Siqian Zhang, Boli Xiong & Gangyao Kuang. (2017) SAR target recognition using parametric supervised t-stochastic neighbor embedding. Remote Sensing Letters 8:9, pages 849-858.
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Baiyuan Ding, Gongjian Wen, Xiaohong Huang, Conghui Ma & Xiaoliang Yang. (2017) Target recognition in SAR images by exploiting the azimuth sensitivity. Remote Sensing Letters 8:9, pages 821-830.
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Articles from other publishers (58)

Chenwei Wang, Siyi Luo, Jifang Pei, Yulin Huang, Yin Zhang & Jianyu Yang. (2023) Crucial feature capture and discrimination for limited training data SAR ATR. ISPRS Journal of Photogrammetry and Remote Sensing 204, pages 291-305.
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Pakize Erdogmus & Abdullah Talha Kabakus. (2023) The promise of convolutional neural networks for the early diagnosis of the Alzheimer’s disease. Engineering Applications of Artificial Intelligence 123, pages 106254.
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Wenbo Weng. (2023) Multitask Sparse Representation of Two-Dimensional Variational Mode Decomposition Components for SAR Target Recognition. Scientific Programming 2023, pages 1-12.
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Wenjuan Zeng, Haibo Gao, Shun Yang & Shuangchun Peng. (2023) Multiview synthetic aperture radar target recognition method using joint sparse representation and random weight matrix. Journal of Applied Remote Sensing 17:01.
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Minjia Yang, Xueru Bai, Li Wang & Feng Zhou. (2023) HENC: Hierarchical Embedding Network With Center Calibration for Few-Shot Fine-Grained SAR Target Classification. IEEE Transactions on Image Processing 32, pages 3324-3337.
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Beatriz Sales da Cunha, Márcio das Chagas Moura, Caio Souto Maior, Ana Cláudia Negreiros & Isis Didier Lins. (2022) A comparison between computer vision- and deep learning-based models for automated concrete crack detection. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, pages 1748006X2211409.
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Elisa Giusti, Selenia Ghio, Amir Hosein Oveis & Marco Martorella. (2022) Proportional Similarity-Based Openmax Classifier for Open Set Recognition in SAR Images. Remote Sensing 14:18, pages 4665.
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Daniel Sobien, Erik Higgins, Justin Krometis, Justin Kauffman & Laura Freeman. (2022) Improving Deep Learning for Maritime Remote Sensing through Data Augmentation and Latent Space. Machine Learning and Knowledge Extraction 4:3, pages 665-687.
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Mohammed Elwan, Ahmed S. Amein, Aiman Mousa, Abdelmoty M. Ahmed, Belgacem Bouallegue & Abdelhameed S. Eltanany. (2022) SAR Image Matching Based on Local Feature Detection and Description Using Convolutional Neural Network. Security and Communication Networks 2022, pages 1-14.
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Amir Hosein Oveis, Elisa Giusti, Selenia Ghio & Marco Martorella. (2022) A Survey on the Applications of Convolutional Neural Networks for Synthetic Aperture Radar: Recent Advances. IEEE Aerospace and Electronic Systems Magazine 37:5, pages 18-42.
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Taeyong Song, Sunok Kim, SungTai Kim, Jaeseok Lee & Kwanghoon Sohn. (2022) Context - Preserving Instance- Level Augmentation and Deformable Convolution Networks for SAR Ship Detection. Context - Preserving Instance- Level Augmentation and Deformable Convolution Networks for SAR Ship Detection.
Elisa Giusti, Selenia Ghio, Amir Hossein Oveis & Marco Martorella. (2022) Open Set Recognition in Synthetic Aperture Radar Using the Openmax Classifier. Open Set Recognition in Synthetic Aperture Radar Using the Openmax Classifier.
Minjia Yang, Xueru Bai, Li Wang & Feng Zhou. (2022) Mixed Loss Graph Attention Network for Few-Shot SAR Target Classification. IEEE Transactions on Geoscience and Remote Sensing 60, pages 1-13.
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Sijin Ren & Cheryl Q. Li. (2022) Robustness of transfer learning to image degradation. Expert Systems with Applications 187, pages 115877.
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Yu Zhou, Yi Li, Weitong Xie & Lu Li. (2021) A Convolutional Neural Network Combined with Attributed Scattering Centers for SAR ATR. Remote Sensing 13:24, pages 5121.
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Yangkai Wei, Yinchuan Li, Zegang Ding, Yan Wang, Tao Zeng & Teng Long. (2021) SAR Parametric Super-Resolution Image Reconstruction Methods Based on ADMM and Deep Neural Network. IEEE Transactions on Geoscience and Remote Sensing 59:12, pages 10197-10212.
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Xiao Xiang Zhu, Sina Montazeri, Mohsin Ali, Yuansheng Hua, Yuanyuan Wang, Lichao Mou, Yilei Shi, Feng Xu & Richard Bamler. (2021) Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives. IEEE Geoscience and Remote Sensing Magazine 9:4, pages 143-172.
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Tsenjung Tai & Masato Toda. (2021) Adapting Intra-Class Variations For Sar Image Classification. Adapting Intra-Class Variations For Sar Image Classification.
Rong Yang, Gui Wang, Zhenru Pan, Hongliang Lu, Heng Zhang & Xiaoxue Jia. (2021) A Novel False Alarm Suppression Method for CNN-Based SAR Ship Detector. IEEE Geoscience and Remote Sensing Letters 18:8, pages 1401-1405.
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Ji-Hoon Park, Seung-Mo Seo & Ji-Hee Yoo. (2021) SAR ATR for Limited Training Data Using DS-AE Network. Sensors 21:13, pages 4538.
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Caio B. S. Maior, João M. M. Santana, Isis D. Lins & Márcio J. C. Moura. (2021) Convolutional neural network model based on radiological images to support COVID-19 diagnosis: Evaluating database biases. PLOS ONE 16:3, pages e0247839.
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Jinsong Zhang, Mengdao Xing & Yiyuan Xie. (2021) FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features. IEEE Transactions on Geoscience and Remote Sensing 59:3, pages 2174-2187.
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Zaidao Wen, Zhunga Liu, Shuai Zhang & Quan Pan. (2021) Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition With Limited Training Samples. IEEE Transactions on Image Processing 30, pages 7266-7279.
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Xiaqing Yang, Jun Shi, Yuanyuan Zhou, Chen Wang, Yao Hu, Xiaoling Zhang & Shunjun Wei. (2020) Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR. Remote Sensing 12:18, pages 3083.
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Mandeep, Husanbir Singh Pannu & Avleen Malhi. (2020) Deep learning-based explainable target classification for synthetic aperture radar images. Deep learning-based explainable target classification for synthetic aperture radar images.
Yikui Zhai, Wenbo Deng, Tian Lan, Bing Sun, Zilu Ying, Junying Gan, Chaoyun Mai, Jingwen Li, Ruggero Donida Labati, Vincenzo Piuri & Fabio Scotti. (2020) MFFA-SARNET: Deep Transferred Multi-Level Feature Fusion Attention Network with Dual Optimized Loss for Small-Sample SAR ATR. Remote Sensing 12:9, pages 1385.
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Samia Kazemi & Birsen Yazici. (2020) Deep Learning for Joint Image Reconstruction and Segmentation for SAR. Deep Learning for Joint Image Reconstruction and Segmentation for SAR.
Rong Yang, Zhentao Hu, Yiming Liu & Zhen Xu. (2020) A Novel Polarimetric SAR Classification Method Integrating Pixel-Based and Patch-Based Classification. IEEE Geoscience and Remote Sensing Letters 17:3, pages 431-435.
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Xiaojing Tan, Ming Zou & Xiqin He. (2020) Target Recognition in SAR Images Based on Multiresolution Representations with 2D Canonical Correlation Analysis. Scientific Programming 2020, pages 1-9.
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Jiahuan Zhang, Hongjun Song & Binbin Zhou. (2020) SAR Target Classification Based on Deep Forest Model. Remote Sensing 12:1, pages 128.
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Zhaohui Xue & Mengxue Zhang. (2020) Multiview Low-Rank Hybrid Dilated Network for SAR Target Recognition Using Limited Training Samples. IEEE Access 8, pages 227847-227856.
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Abdullah Talha Kabakus. (2020) PyFER: A Facial Expression Recognizer Based on Convolutional Neural Networks. IEEE Access 8, pages 142243-142249.
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Lijun Zhu. (2020) Selection of Multi-Level Deep Features via Spearman Rank Correlation for Synthetic Aperture Radar Target Recognition Using Decision Fusion. IEEE Access 8, pages 133914-133927.
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Fei Gao, Teng Huang, Jinping Sun, Jun Wang, Amir Hussain & Erfu Yang. (2018) A New Algorithm for SAR Image Target Recognition Based on an Improved Deep Convolutional Neural Network. Cognitive Computation 11:6, pages 809-824.
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Peng Wang, Xiaomin Zhang & Yan Hao. (2019) A Method Combining CNN and ELM for Feature Extraction and Classification of SAR Image. Journal of Sensors 2019, pages 1-8.
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Yikui Zhai, Wenbo Deng, Ying Xu, Qirui Ke, Junying Gan, Bing Sun, Junying Zeng & Vincenzo Piuri. (2019) Robust SAR Automatic Target Recognition Based on Transferred MS-CNN with L 2 -Regularization . Computational Intelligence and Neuroscience 2019, pages 1-13.
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Xueru Bai, Ruihang Xue, Li Wang & Feng Zhou. (2019) Sequence SAR Image Classification Based on Bidirectional Convolution-Recurrent Network. IEEE Transactions on Geoscience and Remote Sensing 57:11, pages 9223-9235.
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Da Lu, Lanying Cao & Hongwei Liu. (2019) Few-Shot Learning Neural Network for SAR Target Recognition. Few-Shot Learning Neural Network for SAR Target Recognition.
Carole Belloni, Nabil Aouf, Jean-Marc Le Caillec & Thomas Merlet. (2019) SAR Specific Noise Based Data Augmentation for Deep Learning. SAR Specific Noise Based Data Augmentation for Deep Learning.
Shuai Zhang, Zaidao Wen, Zhunga Liu & Quan Pan. (2019) Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition. Rotation Awareness Based Self-Supervised Learning for SAR Target Recognition.
Lizhong Jin, Junjie Chen & Xinguang Peng. (2019) Synthetic aperture radar target classification via joint sparse representation of multi-level dominant scattering images. Optik 186, pages 110-119.
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QiuChen Feng, DongLiang Peng & Yu Gu. (2019) Research of regularization techniques for SAR target recognition using deep CNN models. Research of regularization techniques for SAR target recognition using deep CNN models.
Yinjie Xie, Wenxin Dai, Zhenxin Hu, Yijing Liu, Chuan Li & Xuemei Pu. (2019) A Novel Convolutional Neural Network Architecture for SAR Target Recognition. Journal of Sensors 2019, pages 1-9.
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Junming Li, Meijun Jin & Honglin Li. (2019) Exploring Spatial Influence of Remotely Sensed PM2.5 Concentration Using a Developed Deep Convolutional Neural Network Model. International Journal of Environmental Research and Public Health 16:3, pages 454.
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Yapeng Zhou, Yaheng Chen, Ranran Gao, Jinxiong Feng, Pengfei Zhao & Li Wang. (2019) SAR Target Recognition via Joint Sparse Representation of Monogenic Components with 2D Canonical Correlation Analysis. IEEE Access, pages 1-1.
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Junya Lv & Yue Liu. (2019) Data Augmentation Based on Attributed Scattering Centers to Train Robust CNN for SAR ATR. IEEE Access 7, pages 25459-25473.
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Chao Shan, Bin Huang & Minggao Li. (2018) Binary Morphological Filtering of Dominant Scattering Area Residues for SAR Target Recognition. Computational Intelligence and Neuroscience 2018, pages 1-15.
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Moulay Idriss Bellil & Xiaojian Xu. (2018) Affine and Magnitude Transforms Based Data Augmentation Comparison for SAR Automatic Target Recognition. Affine and Magnitude Transforms Based Data Augmentation Comparison for SAR Automatic Target Recognition.
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Jian Tan, Xiangtao Fan, Shenghua Wang & Yingchao Ren. (2018) Target Recognition of SAR Images via Matching Attributed Scattering Centers with Binary Target Region. Sensors 18:9, pages 3019.
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Yue Zhang, Xian Sun, Hao Sun, Zequn Zhang, Wenhui Diao & Kun Fu. (2018) High Resolution SAR Image Classification with Deeper Convolutional Neural Network. High Resolution SAR Image Classification with Deeper Convolutional Neural Network.
Chuanjin Jiang & Yuan Zhou. (2018) Hierarchical Fusion of Convolutional Neural Networks and Attributed Scattering Centers with Application to Robust SAR ATR. Remote Sensing 10:6, pages 819.
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Ming Liu, Lijiang Peng, Xiaohua Liu, Liquan Dong, Mei Hui & Yuejin Zhao. (2017) SAR image classification based on CNN in real and simulation datasets. SAR image classification based on CNN in real and simulation datasets.
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Shi-Qi Chen, Rong-Hui Zhan, Jie-Min Hu & Jun Zhang. (2017) Feature Fusion Based on Convolutional Neural Network for SAR ATR. ITM Web of Conferences 12, pages 05001.
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