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Open AccessArticle

Radar Target Recognition Using Salient Keypoint Descriptors and Multitask Sparse Representation

Lab-STICC UMR CNRS 6285, ENSTA Bretagne 29806 Brest CEDEX 9, France
LRIT-CNRST URAC 29, Rabat IT Center, Faculty of Sciences, Mohammed V University, Rabat, BP 1014, Morocco
LRIT-CNRST, URAC 29, Rabat IT Center, FLSH, Mohammed V University, Rabat, BP 1014, Morocco
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(6), 843;
Received: 18 April 2018 / Revised: 23 May 2018 / Accepted: 24 May 2018 / Published: 28 May 2018
(This article belongs to the Special Issue Radar Remote Sensing of Oceans and Coastal Areas)
In this paper, we propose a novel approach to recognize radar targets on inverse synthetic aperture radar (ISAR) and synthetic aperture radar (SAR) images. This approach is based on the multiple salient keypoint descriptors (MSKD) and multitask sparse representation based classification (MSRC). Thus, to characterize the targets in the radar images, we combine the scale-invariant feature transform (SIFT) and the saliency map. The purpose of this combination is to reduce the number of SIFT keypoints by keeping only those located in the target area (salient region); this speeds up the recognition process. After that, we compute the feature vectors of the resulting salient SIFT keypoints (MSKD). This methodology is applied for both training and test images. The MSKD of the training images leads to constructing the dictionary of a sparse convex optimization problem. To achieve the recognition, we adopt the MSRC taking into consideration each vector in the MSKD as a task. This classifier solves the sparse representation problem for each task over the dictionary and determines the class of the radar image according to all sparse reconstruction errors (residuals). The effectiveness of the proposed approach method has been demonstrated by a set of extensive empirical results on ISAR and SAR images databases. The results show the ability of the proposed method to predict adequately the aircraft and the ground targets. View Full-Text
Keywords: ATR; ISAR/SAR images; saliency attention; SIFT; multitask-SRC ATR; ISAR/SAR images; saliency attention; SIFT; multitask-SRC
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MDPI and ACS Style

Karine, A.; Toumi, A.; Khenchaf, A.; El Hassouni, M. Radar Target Recognition Using Salient Keypoint Descriptors and Multitask Sparse Representation. Remote Sens. 2018, 10, 843.

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