Soft 3D-ISAR image reconstruction using a dual interferometric radar

Stagliano, Daniele; Lischi, Stefano; Massini, Riccardo; Musetti, Luca; Berizzi, F.

doi:10.1109/radar.2015.7131063

Cited by 5 publications

(19 citation statements)

References 8 publications

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“…A previous attempt to estimate IPP information in advance has been conducted, but its applicability and effectiveness are not confirmed [ 11 ]. To radically solve the problem of interpreting 2D ISAR images and support automatic target classification and recognition (ATC/ATR), 3D imaging techniques have emerged and motivated the development of various configurations of 3D ISAR imaging systems [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 ]. These methods for creating 3D ISAR images can be mainly divided into three different categories.…”

Section: Introductionmentioning

confidence: 99%

“…In order to acquire fine spatial resolution, a very wide antenna aperture and a large number of antenna elements are necessary, which undoubtedly increases the complexity of the radar system and causes difficulties in signal processing. The third variety of method is interferometric imaging techniques that achieve 3D target reconstruction by combining interferometric processing with ISAR processing [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 29 , 30 ]. In comparison with the aforementioned methods, both the InISAR system and signal processing are easier to realize.…”

Section: Introductionmentioning

confidence: 99%

“…In [ 18 ], a dual interferometric ISAR system with multichannel CLEAN technique (MC-CLEAN) was utilized to reconstruct 3D images of moving targets. The real data from a suitably designed Multi-Channel ground-based radar was used to verify the reliability of a 3D InISAR technique in [ 21 ]. Meanwhile, several successful 3D InISAR algorithms based on a linear frequency modulation (LFM) signal model have also been proposed.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, extraction of the scattering center is carried out using the MC-CLEAN technique, of which the computational cost is at least three times more than that of traditional 2D ISAR imaging [ 23 ]. The methods in [ 18 , 21 , 24 , 25 , 33 , 34 ] all use the CLEAN technique, which is computationally expensive, especially for multi-scattering point targets. Third, the effective interferometric phase provides useful information only in areas with high coherence among three ISAR images [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

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Three-Dimensional Interferometric ISAR Imaging Algorithm Based on Cross Coherence Processing

Zhang

2021

Sensors

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Interferometric inverse synthetic aperture radar (InISAR) has received significant attention in three-dimensional (3D) imaging due to its applications in target classification and recognition. The traditional two-dimensional (2D) ISAR image can be interpreted as a filtered projection of a 3D target’s reflectivity function onto an image plane. Such a plane usually depends on unknown radar-target geometry and dynamics, which results in difficulty interpreting an ISAR image. Using the L-shape InISAR imaging system, this paper proposes a novel 3D target reconstruction algorithm based on Dechirp processing and 2D interferometric ISAR imaging, which can jointly estimate the effective rotation vector and the height of scattering center. In order to consider only the areas of the target with meaningful interferometric phase and mitigate the effects of noise and sidelobes, a special cross-channel coherence-based detector (C3D) is introduced. Compared to the multichannel CLEAN technique, advantages of the C3D include the following: (1) the computational cost is lower without complex iteration and (2) the proposed method, which can avoid propagating errors, is more suitable for a target with multi-scattering points. Moreover, misregistration and its influence on target reconstruction are quantitatively discussed. Theoretical analysis and numerical simulations confirm the suitability of the algorithm for 3D imaging of multi-scattering point targets with high efficiency and demonstrate the reliability and effectiveness of the proposed method in the presence of noise.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Three-Dimensional Interferometric ISAR Imaging Algorithm Based on Cross Coherence Processing

Zhang

2021

Sensors

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“…There are many literatures and applications concerning ISAR image registration and InISAR 3D imaging techniques. The correlation coefficient based image registration method, which was widely used for SAR image registration, was firstly introduced to solve the ISAR image registration problem [6,7]. Wang et al [8] presented a SAR image registration method based on integrating real and complex correlation function.…”

Section: Introductionmentioning

confidence: 99%

A novel image registration method for InISAR 3D imaging

2018

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Image registration is a key intermediate step for Interferometric Inverse Synthetic Aperture Radar (InISAR) three-dimensional (3D) imaging. It arranges the same scatterers of the target on the same pixel cell in different ISAR images, which makes the interferometric processing carried on between the same scatterers to obtain its 3D coordinates. This paper proposes a novel ISAR image registration method of three steps. Firstly, chirp Fourier transform is used to estimate the rotational angular velocity of the target. Secondly, the compensation phase is constructed, according to the rotational angular velocity, to eliminate the wave path difference between different radars echoes. Finally, two-dimensional (2D) Fourier transform is used to yield registered ISAR images. The proposed method achieves the ISAR image registration through phase compensation in echo field, therefore, no extra computation is needed in image field. The experiment results demonstrate the advantages of the proposed method in precision, computation efficiency and practicability.

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Fast multidimensional dictionary learning algorithms and their application in 3D inverse synthetic aperture radar image restoration and noise reduction

Mehrpooya

Nazari

Abbasi

et al. 2022

IET Radar Sonar & Navi

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By generalising dictionary learning (DL) algorithms to multidimensional (MD) mode and using them in applications where signals are inherently multidimensional, such as in threedimensional (3D) inverse synthetic aperture radar (ISAR) imaging, it is possible to achieve much higher speed and less computational complexity. In this study, the formulation of the multidimensional dictionary learning (MDDL) problem is expressed and two algorithms are proposed to solve it. The first one is based on the method of optimum directions (MOD) algorithm for 1D dictionary learning (1DDL), which uses alternating minimisation and gradient projection approach. As the MDDL problem is non-convex, the second algorithm approximates the non-convex objective with a new jointly convex function and efficiently solves it. As an application, we use the proposed methods to restore and denoise the ISAR image. Numerical experiments highlight that the proposed algorithms, in addition to reducing the computational complexity and the amount of required memory, also entail less training data for learning the dictionary, and enjoy higher convergence speed in comparison to their one-dimensional (1D) counterparts. Specifically, convergence speed of MD algorithms, depending on the size of the training data, is up to at least 10.7 times faster than the equivalent 1DDL algorithm. According to the simulation results, the SNR value achieved by the proposed algorithms is higher than the case where we use the 3D-IFFT for image reconstruction and the case of fixed dictionaries, by approximately 12 and 4 dB, respectively.

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Soft 3D-ISAR image reconstruction using a dual interferometric radar

Cited by 5 publications

References 8 publications

Three-Dimensional Interferometric ISAR Imaging Algorithm Based on Cross Coherence Processing

Three-Dimensional Interferometric ISAR Imaging Algorithm Based on Cross Coherence Processing

A novel image registration method for InISAR 3D imaging

Fast multidimensional dictionary learning algorithms and their application in 3D inverse synthetic aperture radar image restoration and noise reduction

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