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ISPRS Int. J. Geo-Inf. 2017, 6(11), 330; https://doi.org/10.3390/ijgi6110330

Aircraft Reconstruction in High-Resolution SAR Images Using Deep Shape Prior

1
Institute of Electronic, Chinese Academy of Sciences, Beijing 100190, China
2
University of Chinese Academy of Sciences, Beijing 100190, China
*
Author to whom correspondence should be addressed.
Received: 8 September 2017 / Revised: 9 October 2017 / Accepted: 24 October 2017 / Published: 31 October 2017
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Abstract

Contour shapes are important features. An accurate contour shape of a target can provide important prior information for applications, such as target recognition, which can improve the accuracy of target interpretation. In this paper, a synthetic aperture radar (SAR) target reconstruction method is proposed, which can be used to reconstruct the target by using shape priors to perform an accurate extraction of the contour shape feature. The method is divided into two stages. In the deep shape prior extraction stage, a generative deep learning modelling method is used to obtain deep shape priors. In the reconstruction stage, a novel coarse-to-fine pose estimation method combined with an optimization algorithm is proposed, which integrates deep shape priors into the process of reconstruction. Specifically, to address the issue of object rotation, candidate poses are obtained using the coarse pose estimation method, which avoids an exhaustive search of each pose. In addition, an energy function composed of a scattering term and shape term to combine the fine pose estimation, is constructed and optimized via an iterative optimization algorithm to achieve the goal of object reconstruction. To the best of our knowledge, this is the first time shape priors have been used to extract shape features of SAR targets. Experiments are conducted on a data set acquired by TerraSAR-X images and the results demonstrate the high accuracy and robustness of the proposed method. View Full-Text
Keywords: synthetic aperture radar; object reconstruction; shape prior; deep boltzmann machine synthetic aperture radar; object reconstruction; shape prior; deep boltzmann machine
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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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Dou, F.; Diao, W.; Sun, X.; Zhang, Y.; Fu, K. Aircraft Reconstruction in High-Resolution SAR Images Using Deep Shape Prior. ISPRS Int. J. Geo-Inf. 2017, 6, 330.

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