Target Feature Extraction and Recognition of SAR Images Based on PCANet-Reference-Cited by-同舟云学术

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Target Feature Extraction and Recognition of SAR Images Based on PCANet

Published:2019-12-04 Issue: Volume: Page:393-400
ISSN:1876-1100
Container-title:Proceedings of the 11th International Conference on Modelling, Identification and Control (ICMIC2019)
language:
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Author:

Li Pucheng,Li Junchen,Yin Wen,Yang Lei

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-0474-7_37

Reference10 articles.

1. Solberg, A.H.S., Jain, A.K., Taxt, T.: Multisource classification of remotely sensed data: fusion of LANDSAT TM and SAR images. J. IEEE Trans. Geosci. Remote Sens. 32, 768–778 (1994)

2. Zhao, Q., Principe, J.C.: Support vector machines for SAR automatic target recognition. J. IEEE Trans. Aerosp. Electron. Syst. 37, 643–654 (2001)

3. Han, P., Wu, J.X., Wu, R.B.: SAR target feature extraction and recognition based on 2D-DLPP. J. Phys. Procedia 24, 1431–1436 (2012)

4. Wang, D.G., Yang, Z.L., Chang, S.: SAR image recognition combined bidirectional 2DPCA with PCA. J. Adv. Mater. Res. 756–759, 4041–4044 (2013)

5. Gao, F., Dong, J.Y., Li, B., et al.: Automatic change detection in synthetic aperture radar images based on PCANet. J. IEEE Geosci. Remote Sens. Lett. 13, 1792–1796 (2016)

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