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Article

Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach

1
School of Artificial Intelligence, Xidian University, Xi’an 710071, Shaanxi, China
2
GST at NOAA/NESDIS, College Park, MD 20740, USA
*
Authors to whom correspondence should be addressed.
Remote Sens. 2018, 10(1), 110; https://doi.org/10.3390/rs10010110
Received: 21 November 2017 / Revised: 10 January 2018 / Accepted: 12 January 2018 / Published: 15 January 2018
In this paper, a novel polarimetric synthetic aperture radar (PolSAR) image classification method based on multilayer autoencoders and self-paced learning (SPL) is proposed. The multilayer autoencoders network is used to learn the features, which convert raw data into more abstract expressions. Then, softmax regression is applied to produce the predicted probability distributions over all the classes of each pixel. When we optimize the multilayer autoencoders network, self-paced learning is used to accelerate the learning convergence and achieve a stronger generalization capability. Under this learning paradigm, the network learns the easier samples first and gradually involves more difficult samples in the training process. The proposed method achieves the overall classification accuracies of 94.73%, 94.82% and 78.12% on the Flevoland dataset from AIRSAR, Flevoland dataset from RADARSAT-2 and Yellow River delta dataset, respectively. Such results are comparable with other state-of-the-art methods. View Full-Text
Keywords: PolSAR; classification; multilayer autoencoders; self-paced learning PolSAR; classification; multilayer autoencoders; self-paced learning
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MDPI and ACS Style

Chen, W.; Gou, S.; Wang, X.; Li, X.; Jiao, L. Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach. Remote Sens. 2018, 10, 110. https://doi.org/10.3390/rs10010110

AMA Style

Chen W, Gou S, Wang X, Li X, Jiao L. Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach. Remote Sensing. 2018; 10(1):110. https://doi.org/10.3390/rs10010110

Chicago/Turabian Style

Chen, Wenshuai; Gou, Shuiping; Wang, Xinlin; Li, Xiaofeng; Jiao, Licheng. 2018. "Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach" Remote Sens. 10, no. 1: 110. https://doi.org/10.3390/rs10010110

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