Time–frequency analysis for moving ship targets in GEO spaceborne/airborne bistatic SAR imaging based on a GEO satellite transmitter

Lian, Meng; Jiang, Yicheng

doi:10.1080/01431161.2017.1375615

Cited by 10 publications

(4 citation statements)

References 8 publications

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“…A sequential Monte Carlo method proposed in Gleich and Datcu (2009) is a model-based Bayesian approach. The second-generation wavelets such as bandelet (Lu et al, 2014), chirplet (Lian & Jiang, 2017), contourlet (Metwalli et al, 2014) have been developed in the last few years. The process of despeckling the SAR images using contourlet transform (Li et al, 2006) and bandelet (Sveinsson et al, 2008) transform gives better despeckling results as compared with each wavelet-based method.…”

Section: Related Workmentioning

confidence: 99%

Despeckling of SAR Images Using BEMD-Based Adaptive Frost Filter

Painam

Suchetha

2022

J Indian Soc Remote Sens

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In image processing, removal of speckle noise from a satellite image is a challenging task for the researchers. There are various approaches for speckle noise reduction. Generally, the speckle noises are scattered, in satellite images, medical images and synthetic aperture radar (SAR) images. This paper introduces a bidimensional empirical mode decomposition (BEMD)-based adaptive filtering method for despeckling of SAR image. The noisy SAR image is decomposed into different bidimensional intrinsic mode function (BIMF) levels using BEMD and then filtering is performed on the first BIMF level, as it contains the high-frequency noise component. This adaptation process effectively filters out the noisy image component without destroying the original image component. A BEMD-based adaptive Frost filter is introduced in this paper for despeckling of SAR images. The despeckling performances of our proposed filtering method are further analyzed by visual evaluation and also using performance parameters comparatively. Our reconstructed images show better performance quantitatively and qualitatively compared to other filters.

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Section: Related Workmentioning

confidence: 99%

Despeckling of SAR Images Using BEMD-Based Adaptive Frost Filter

Painam

Suchetha

2022

J Indian Soc Remote Sens

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“…Moreover, a moving ship target detection and imaging method based on the generalised radon‐Fourier transform was proposed in [15]. Lian and Jiang [16] studied the time–frequency characteristics of moving ship targets using the Wigner–Ville distribution (WVD), the pseudo WVD, and the chirplet decomposition in the geosynchronous spaceborne/airborne bistatic SAR system. Simulations were performed to verify the effectiveness of these algorithms.…”

Section: Introductionmentioning

confidence: 99%

SAR imaging of multiple maritime moving targets based on sparsity Bayesian learning

Zhang

Xiao

et al. 2020

IET Radar, Sonar & Navigation

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“…Inverse synthetic aperture radar (ISAR) imaging is an efficient method for providing high resolution images of maneuvering targets especially in many military applications such as target identification, recognition, and classification. Parameter estimation and motion compensation are the key issues of ISAR imaging [1][2][3][4][5][6]. In modern warfare, intensive multiple targets are often present in radar line-ofsight in various applications such as aircraft or ship formation, ballistic missile with multiple warheads, and space debris, which pose a challenge to the existing imaging techniques [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Isar Imaging of Multiple Maneuvering Targets

Zhao¹,

Zhang²,

Xin³

et al. 2019

PIER M

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For inverse synthetic aperture radar (ISAR) imaging of multiple targets, range profiles of different targets are sometimes coupled together, resulting in the ineffectiveness of traditional imaging method, while the couplings in range domain may behave differently in time-frequency domain, and the Doppler histories of different targets are potentially separable. Then the time-frequency analysis method can be utilized for signal separation of multiple targets. Notice that the nonuniform motions of targets may make the time-frequency curves changeful, and accordingly some preprocessing are needed. In this paper, a novel ISAR imaging method based on modified keystone transform (MKT), shorttime Fourier transform (STFT), and Hough transform (HT) is proposed. The radar echoes of multiple targets are approximated to a second-order polynomial. The MKT is firstly utilized to correct the range curvatures. Secondly, the signal in each range cell is transformed into time-frequency domain through the STFT. Meanwhile, HT theory and mask matrix are adopted in time-frequency curves' separation of different targets. Thirdly, after inverse STFT, the separated time-frequency curves are respectively back to the range domain, and the range profiles of different targets are successfully separated. Eventually, with further motion compensation and precise imaging, focused ISAR images of different targets are achieved. Simulation results demonstrate the validity of the proposed method.

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Time–frequency analysis for moving ship targets in GEO spaceborne/airborne bistatic SAR imaging based on a GEO satellite transmitter

Cited by 10 publications

References 8 publications

Despeckling of SAR Images Using BEMD-Based Adaptive Frost Filter

Despeckling of SAR Images Using BEMD-Based Adaptive Frost Filter

SAR imaging of multiple maritime moving targets based on sparsity Bayesian learning

A Novel Method for Isar Imaging of Multiple Maneuvering Targets

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