MFFA-SARNET: Deep Transferred Multi-Level Feature Fusion Attention Network with Dual Optimized Loss for Small-Sample SAR ATR
暂无分享,去创建一个
Vincenzo Piuri | Junying Gan | Chaoyun Mai | Ruggero Donida Labati | Fabio Scotti | Tian Lan | Zilu Ying | Jingwen Li | Yikui Zhai | Wenbo Deng | Bing Sun | R. D. Labati | V. Piuri | Bing Sun | Tian Lan | F. Scotti | Jingwen Li | Wenbo Deng | Yikui Zhai | Jun-ying Gan | Z. Ying | Chaoyun Mai | Junying Gan
[1] Yu Zhou,et al. SAR Automatic Target Recognition Using a Roto-Translational Invariant Wavelet-Scattering Convolution Network , 2018, Remote. Sens..
[2] Eric Eaton,et al. Deep Transfer Learning for Few-Shot SAR Image Classification , 2019, Remote. Sens..
[3] Abdulkadir Eryildirim,et al. Man-made object classification in SAR images using 2-D cepstrum , 2009, 2009 IEEE Radar Conference.
[4] Jun Zhang,et al. Classification via weighted kernel CNN: application to SAR target recognition , 2018, International Journal of Remote Sensing.
[5] Xiaoqiang Lu,et al. Remote Sensing Image Scene Classification: Benchmark and State of the Art , 2017, Proceedings of the IEEE.
[6] Li Wang,et al. SAR Target Recognition via Joint Sparse Representation of Monogenic Components With 2D Canonical Correlation Analysis , 2019, IEEE Access.
[7] Huanxin Zou,et al. Deep Convolutional Highway Unit Network for SAR Target Classification With Limited Labeled Training Data , 2017, IEEE Geoscience and Remote Sensing Letters.
[8] Shuyuan Yang,et al. Fast Semisupervised Classification Using Histogram-Based Density Estimation for Large-Scale Polarimetric SAR Data , 2019, IEEE Geoscience and Remote Sensing Letters.
[9] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[10] Zongxu Pan,et al. Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data , 2017, Remote. Sens..
[11] Yifei Zhang,et al. A Novel Local Human Visual Perceptual Texture Description with Key Feature Selection for Texture Classification , 2019, Mathematical Problems in Engineering.
[12] Yingchao Ren,et al. Target Recognition of SAR Images via Matching Attributed Scattering Centers with Binary Target Region , 2018, Sensors.
[13] Sungho Kim,et al. Robust Ground Target Detection by SAR and IR Sensor Fusion Using Adaboost-Based Feature Selection , 2016, Sensors.
[14] Antonio De Maio,et al. Automatic Target Recognition of Military Vehicles With Krawtchouk Moments , 2017, IEEE Transactions on Aerospace and Electronic Systems.
[15] Maoguo Gong,et al. Sparse Manifold-Regularized Neural Networks for Polarimetric SAR Terrain Classification , 2020, IEEE Transactions on Neural Networks and Learning Systems.
[16] Pan Yun,et al. SAR image target recognition based on NMF feature extraction and Bayesian decision fusion , 2010, 2010 Second IITA International Conference on Geoscience and Remote Sensing.
[17] Gongjian Wen,et al. Target Recognition in Synthetic Aperture Radar Images via Matching of Attributed Scattering Centers , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[18] Haipeng Wang,et al. Target Classification Using the Deep Convolutional Networks for SAR Images , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[19] Ning Li,et al. SAR ATR based on displacement- and rotation-insensitive CNN , 2016 .
[20] Wei Liu,et al. Ship Classification and Detection Based on CNN Using GF-3 SAR Images , 2018, Remote. Sens..
[21] Mohammad Amin Ghannadi,et al. A Modified Local Binary Pattern Descriptor for SAR Image Matching , 2019, IEEE Geoscience and Remote Sensing Letters.
[22] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[23] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[24] Jing Hu,et al. SAR Automatic Target Recognition Based on Dictionary Learning and Joint Dynamic Sparse Representation , 2016, IEEE Geoscience and Remote Sensing Letters.
[25] Moncef Gabbouj,et al. Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks , 2019, Remote. Sens..
[26] Jianyu Yang,et al. SAR Automatic Target Recognition Based on Multiview Deep Learning Framework , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[27] Chris Kreucher,et al. Modern approaches in deep learning for SAR ATR , 2016, SPIE Defense + Security.
[28] Gholamreza Akbarizadeh,et al. Ship Classification in SAR Images Using a New Hybrid CNN–MLP Classifier , 2018, Journal of the Indian Society of Remote Sensing.
[29] Moussa Amrani,et al. Deep feature extraction and combination for synthetic aperture radar target classification , 2017 .
[30] K. Moffett,et al. Remote Sens , 2015 .
[31] Yong Xu,et al. High-Performance SAR Image Matching Using Improved SIFT Framework Based on Rolling Guidance Filter and ROEWA-Powered Feature , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[32] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[33] Kuldip Singh,et al. An Analysis of Texture Measures in PCA-Based Unsupervised Classification of SAR Images , 2009, IEEE Geoscience and Remote Sensing Letters.
[34] Hongwei Liu,et al. Convolutional Neural Network With Data Augmentation for SAR Target Recognition , 2016, IEEE Geoscience and Remote Sensing Letters.
[35] Terrance L. Huntsberger,et al. Wavelet-based fractal signature analysis for automatic target recognition , 1998 .
[36] Fan Zhang,et al. SAR Target Small Sample Recognition Based on CNN Cascaded Features and AdaBoost Rotation Forest , 2020, IEEE Geoscience and Remote Sensing Letters.
[37] Baiyuan Ding,et al. Target recognition in synthetic aperture radar images using binary morphological operations , 2016 .
[38] Xingzhao Liu,et al. Generalized synthetic aperture radar automatic target recognition by convolutional neural network with joint use of two-dimensional principal component analysis and support vector machine , 2017 .
[39] Qun Zhao,et al. Support vector machines for SAR automatic target recognition , 2001 .
[40] Huanxin Zou,et al. Sparse Representation-Based SAR Image Target Classification on the 10-Class MSTAR Data Set , 2016 .
[41] Stefania Matteoli,et al. Automatic Target Recognition Within Anomalous Regions of Interest in Hyperspectral Images , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[42] Haitao Lang,et al. Discriminative Adaptation Regularization Framework-Based Transfer Learning for Ship Classification in SAR Images , 2019, IEEE Geoscience and Remote Sensing Letters.
[43] Gangyao Kuang,et al. SAR Target Recognition via Joint Sparse and Dense Representation of Monogenic Signal , 2019, Remote. Sens..
[44] Jiachun An,et al. High-Performance SAR Automatic Target Recognition Under Limited Data Condition Based on a Deep Feature Fusion Network , 2019, IEEE Access.
[45] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[46] Hongwei Liu,et al. Feature-Fused SAR Target Discrimination Using Multiple Convolutional Neural Networks , 2017, IEEE Geoscience and Remote Sensing Letters.
[47] Caner Demirpolat,et al. SAR image time-series analysis framework using morphological operators and global and local information-based linear discriminant analysis , 2018, Turkish J. Electr. Eng. Comput. Sci..