Multicarrier SAR Image Reconstruction Using Integrated MUSIC-LSE Algorithm

Buhari, Mohammed D.; Tian, Gui Yun; Tiwari, Rajesh; Muqaibel, Ali H.

doi:10.1109/access.2018.2817359

Cited by 16 publications

(15 citation statements)

References 32 publications

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“…For the microwave SAR system configuration, the choice for the operational mode of the SAR geometry depends on the targeted application [24]. In our previous work in [12], broadside target was developed for a point target on a flat surface as shown in Fig. 2 (a).…”

Section: A Design Of Microwave Ndt Based Sar Systemmentioning

confidence: 99%

“…Different approaches exist that can be used to form the image of the pipe such as back-projection algorithm [25], ω − k algorithm [3], beamforming [26], compressed sensing [27], and MUSIC-LSE [12]. However, as we are operating within the near-field region where a tiny defect needs to be detected on the reconstructed pipe image under insulation, the acquired SAR raw data need to be pre-processed and refocused before the reconstructing the pipe image.…”

Section: A Design Of Microwave Ndt Based Sar Systemmentioning

confidence: 99%

“…In such areas, surface inspection of the pipes is employed. Microwave NDT&E technique is one of the popular methods for pipeline surface inspection using methods such as ground penetration radar (GPR) [11], synthetic aperture radar (SAR) [12]. They are non-contact inspection methods and have since become hotspots in the pipeline industry because of its simplicity, high detection efficiency and most of them do not require an excitation source [13].…”

Section: Introductionmentioning

confidence: 99%

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Microwave-Based SAR Technique for Pipeline Inspection Using Autofocus Range-Doppler Algorithm

2019

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In non-destructive testing and evaluation, microwave-based synthetic aperture radar (SAR) imaging have shown great potential in the detection of defects on buried objects such as pipes. However, due to pipe curvature and high standoff distance when inspecting an insulated pipe, the useful defect information used to characterise the pipe image is lost as a result of low signal-to-noise ratio (SNR) resulting in a blurred and unfocused image. In this paper, we proposed a robust microwave-based SAR imaging using autofocus range-Doppler algorithm (RDA) for the inspection of an insulated pipe. Singular value decomposition (SVD) is used to mitigate the effect of the insulation layer by removing dominant singular values that characterise the insulation layer, and the autofocus RDA is designed to refocus the SAR image using RDA residual refocusing. SNR, improvement factor (IF) and squared error (SE) are used to evaluate the qualitative image information of the defect on the pipe. Experimental results showed the efficacy of the method in detecting defects on an insulated pipe, in particular, a significant reduction in the noise content of the image compared to the known SAR Omega-k algorithm. It was found that the autofocus RDA gave higher values of SNR and IF (3 dB and 6 dB) compared to the Omega-k algorithm (-1 dB and 2 dB) respectively.

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Section: A Design Of Microwave Ndt Based Sar Systemmentioning

confidence: 99%

Section: A Design Of Microwave Ndt Based Sar Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Microwave-Based SAR Technique for Pipeline Inspection Using Autofocus Range-Doppler Algorithm

2019

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“…For cross-polarization, a nonzero FR angle means that the measured scattering matrix will not be invertible (M vh M hv ). Suppose that FR angle is the only error source and full-polarization SAR data is available, then the FR angle can be easily estimated from (3). A robust algorithm has been proposed to estimate the FR angle through circular polarization scattering matrix Z [9], as given by:…”

Section: Estimation Of the Fr Angle From Full-polarimetric Sar Datamentioning

confidence: 99%

“…Synthetic aperture radar (SAR) imagery has demonstrated its potential in the military and in civilian fields, such as ground deformation observation and computer vision systems [1][2][3][4]. However, a challenge to the SAR imagery, particularly with low-frequency SAR systems, is the influence of the ionosphere.…”

Section: Introductionmentioning

confidence: 99%

Synthetic Aperture Radar Interferometry (InSAR) Ionospheric Correction Based on Faraday Rotation: Two Case Studies

2019

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Spaceborne synthetic aperture radar (SAR) imagery is affected by the ionosphere, resulting in distortions of the SAR intensity, phase, and polarization. Although several methods have been proposed to mitigate the ionospheric phase delay of SAR interferometry, the application of them with full-polarimetric SAR interferometry is limited. Based on this background, Faraday rotation (FR)-based methods are used in this study to mitigate the ionospheric phase errors on full-polarimetric SAR interferometry. For a performance test of the selected method, L-band Advanced Land Observation Satellite (ALOS) Phase Array L-band SAR (PALSAR) full-polarimetric SAR images over high-latitude and low-latitude regions are processed. The result shows that most long-wavelength ionospheric phase errors are removed from the original phase after using the FR-based method, where standard deviations of the corrected result have decreased by almost a factor of eight times for the high-latitude region and 28 times for low-latitude region, compared to those of the original phase, demonstrating the efficiency of the method. This result proves that the FR-based method not only can mitigate the ionospheric effect on SAR interferometry, but also can map the high-spatial-resolution vertical total electronic content (VTEC) distribution.

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Enhancing multi-target detection in low SNR conditions

Neeraja,

Rao,

Naik

2024

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Multicarrier SAR Image Reconstruction Using Integrated MUSIC-LSE Algorithm

Cited by 16 publications

References 32 publications

Microwave-Based SAR Technique for Pipeline Inspection Using Autofocus Range-Doppler Algorithm

Microwave-Based SAR Technique for Pipeline Inspection Using Autofocus Range-Doppler Algorithm

Synthetic Aperture Radar Interferometry (InSAR) Ionospheric Correction Based on Faraday Rotation: Two Case Studies

Enhancing multi-target detection in low SNR conditions

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