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In this letter, we present a novel generic approach for radar automatic target recognition in either inverse synthetic aperture radar (ISAR) or synthetic aperture radar (SAR) images. For this purpose, the radar image is described by a statistical modeling in the complex wavelet domain. Thus, the radar image is transformed into a complex wavelet domain using the dual-tree complex wavelet transform...
This paper proposes to adapt the Empirical Mode Decomposition Time-Frequency Distribution (EMD-TFD) to non-analytic complex-valued signals. This original method employs the Non uniformly Sampled Bivariate Empirical Mode Decomposition (NSBEMD) to design a filter in the ambiguity domain and clean the Time-Frequency Distribution (TFD) of the signal. This new approach is called NSBEMD-TFD. The suggested...
This paper aims to present a novel method for automatic target recognition based on synthetic aperture radar (SAR) images. In order to describe a region of interest (target area), we use a saliency attention model. Then, the produced saliency map is used as a mask on SAR image in order to separate the ground target from the background. After that, we calculate the scale invariant feature transform...
This paper deals with the problematic of automatic target recognition (ATR) using Synthetic Aperture Radar (SAR) images. In this work, the Deep Learning (DL) architecture is proposed and applied in order to recognize military vehicles from SAR images. We propose mainly in this work the deep learning algorithms based on convolutional neural network architecture. In the second step and in order to optimize...
The work presented in this paper is part of the filed of automatic recognition of radar targets. Thus, for assistance in target recognition, we propose a new approach to extract efficient feature from synthetic aperture radar (SAR) images. The proposed approach deals with a combination of two feature descriptors obtained from two methods. In the first method, we perform the dual-tree complex wavelet...
This paper addresses the problem of automatic target recognition (ATR) using inverse synthetic aperture radar (ISAR) images. In this context, we propose a novel approach for feature extraction to describe precisely an aircraft target from ISAR images. In our approach, a visual attention model is adopted to separate the salient regions from the background. After that, the scale invariant feature transform...
In this paper, a new method has been presented to estimate of the Water Quality Parameters (WQPs) such as Electrical Conductivity (EC), salinity and Total Dissolved Salt (TDS). This method is mainly depended on the thermal and SAR images as an active and passive input satellite data. A Small Perturbation Method (SPM) using the Elfouhaily spectrum has been used as a physical model to calculate the...
This paper presented a novel approach built upon the method of inversion of EM scattering model to estimate the Water Quality Parameters (WQPs). A Small Perturbation Model (SPM) using the Gaussian spectrum is used as a scattering model to calculate physical proprieties of water area. This approach is mainly depended on the thermal and SAR images as an active and passive satellite data. The parameters...
We present in this paper an approach to achieve the aircraft target recognition task using Inverse Synthetic Aperture Radar (ISAR) images reconstructed using IFFT (Inverse Fast Furrier Transform) and MUSIC2D (multiple signal characterization) methods. The first goal of this work is to propose efficient features for target recognition using a polar mapping procedure, to make a polar signature, with...
In this paper, a method for Inverse Synthetic Aperture Radar (ISAR) image formation based on the use of the Complex Empirical Mode Decomposition (CEMD) is proposed. The CEMD [1] which based on the Empirical Mode Decomposition (EMD) is used in conjunction with a Time-Frequency Representation (TFR) to estimate a 3-D time-range-Doppler Cubic image, which we can use to effectively extract a sequence of...
For several years, different types of classifiers have been developed using several features vector in the automatic target recognition (ATR) field. However, because of measurement conditions and extraction techniques, the individual results performance obtained by different approaches of classification are varied and different. For these reasons and as part of the radar target recognition, we present...
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