SAR Target Feature Extraction and Recognition Based on 2D-DLPP

Author:

Han Ping,Wu Jingxian,Wu Renbiao

Publisher

Elsevier BV

Subject

General Engineering

Reference7 articles.

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2. Synthetic Aperture Radar Automatic Target Recognition Using Adaptive Boosting;Sun Yijun;SPIE The International Society for Optical Engineering San Diego,2005

3. Yinan Yang, Yuxia Qiu and Chao Lu. Automatic Target Classification Experiments on the MSTAR SAR Images. Proceedings of the Sixth International Conference on SNPD/SAWN’05, 2005: 2-7.

4. Jian-Gang Wang, Hui Kong and Wei-Yun Yao, 2D FDA vs. 1D FDA: Stereo Face Recognition[J].

5. Sanquanasat P, Asdornwised W, Jitapunkul S,et al. Two-dimensional linear discriminant analysis of principal component vectors for face recognition[C]. IEEE International Conference on A coustics, Speech and Signal Processing. New York: IEEE, 2006:2164-2170.

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1. Target Feature Extraction and Recognition of SAR Images Based on PCANet;Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019);2019-12-04

2. A Deep Convolutional Generative Adversarial Networks (DCGANs)-Based Semi-Supervised Method for Object Recognition in Synthetic Aperture Radar (SAR) Images;Remote Sensing;2018-05-29

3. Double Weight-Based SAR and Infrared Sensor Fusion for Automatic Ground Target Recognition with Deep Learning;Remote Sensing;2018-01-11

4. Feature Fusion for Classification Enhancement of Ground Vehicle SAR Images;2017 UKSim-AMSS 19th International Conference on Computer Modelling & Simulation (UKSim);2017-04

5. Neighborhood Geometric Center Scaling Embedding for SAR ATR;IEEE Transactions on Aerospace and Electronic Systems;2014-01

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