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Sensors 2018, 18(3), 769; https://doi.org/10.3390/s18030769

Multi-Pixel Simultaneous Classification of PolSAR Image Using Convolutional Neural Networks

1
School of Electronic Information, Wuhan University, Wuhan 430079, China
2
Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Received: 30 December 2017 / Revised: 21 February 2018 / Accepted: 21 February 2018 / Published: 3 March 2018
(This article belongs to the Special Issue First Experiences with Chinese Gaofen-3 SAR Sensor)
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Abstract

Convolutional neural networks (CNN) have achieved great success in the optical image processing field. Because of the excellent performance of CNN, more and more methods based on CNN are applied to polarimetric synthetic aperture radar (PolSAR) image classification. Most CNN-based PolSAR image classification methods can only classify one pixel each time. Because all the pixels of a PolSAR image are classified independently, the inherent interrelation of different land covers is ignored. We use a fixed-feature-size CNN (FFS-CNN) to classify all pixels in a patch simultaneously. The proposed method has several advantages. First, FFS-CNN can classify all the pixels in a small patch simultaneously. When classifying a whole PolSAR image, it is faster than common CNNs. Second, FFS-CNN is trained to learn the interrelation of different land covers in a patch, so it can use the interrelation of land covers to improve the classification results. The experiments of FFS-CNN are evaluated on a Chinese Gaofen-3 PolSAR image and other two real PolSAR images. Experiment results show that FFS-CNN is comparable with the state-of-the-art PolSAR image classification methods. View Full-Text
Keywords: Gaofen-3; PolSAR image classification; convolutional neural networks; multi-pixel classification; fixed-feature-size Gaofen-3; PolSAR image classification; convolutional neural networks; multi-pixel classification; fixed-feature-size
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Wang, L.; Xu, X.; Dong, H.; Gui, R.; Pu, F. Multi-Pixel Simultaneous Classification of PolSAR Image Using Convolutional Neural Networks. Sensors 2018, 18, 769.

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