Ground-Based 3D Radar Imaging of Trees Using a 2D Synthetic Aperture

Penner, Justin F.; Long, D.G.

doi:10.3390/electronics6010011

Cited by 11 publications

(8 citation statements)

References 14 publications

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“…SAR systems operating on aircrafts provide monitoring of large-scale areas with relatively high resolution imagery (Ouchi 2013). On the other hand, ground-based SAR (GB-SAR) systems are better suited for inspection of small-scale areas with a better resolution capability than that of air-based systems (Cho et al 2006;Gonzalez et al 2008;Lee et al 2007;Lee et al 2014;Lee et al 2016;Penner and Long 2017;Cuenca 2017). Interferometric and polarimetric practices can also be effectively exploited within these systems to aid target identification.…”

Section: Introductionmentioning

confidence: 99%

An investigation of the performances of polarimetric target decompositions using GB-SAR imaging

Demirci

Özdemir

2021

International Journal of Engineering and Geosciences

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Ground-based synthetic aperture radar (GB-SAR) systems are mostly utilized to be practical practices in improved understanding of the complex mechanism of microwave backscattering. They also provide complementary information on evaluating the validity of the polarimetric analysis of air-borne or satellite-borne SAR applications. This study investigates some capabilities of polarimetric L-band GB-SAR imaging by testing its performance against a typical terrain and various kinds of manmade targets. Trihedral corner reflectors are also included in the analyses because of their importance in data calibration. Polarimetric backscattering signatures of different targets are analyzed in terms of qualitative assessment of amplitude images and identification and classification of scattering mechanisms through target decomposition techniques. The findings of these analyses and detailed discussions are presented. Specifically, the entropy/meanalpha (( / ̅)) classification results are shown to be capable of clearly identifying the dominant scattering mechanisms occurring within the investigated scene.

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Section: Introductionmentioning

confidence: 99%

An investigation of the performances of polarimetric target decompositions using GB-SAR imaging

Demirci

Özdemir

2021

International Journal of Engineering and Geosciences

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“…Synthetic Aperture Radar (SAR) is an active sensor that transmits a beam of electromagnetic radiation in order to extend human ability to observe properties of the surface of the earth [1]. As an effective means for remote sensing, SAR is capable of providing high resolution images and videos for target surveillance under any weather condition [2][3][4][5][6][7]. With the development of SAR, robustness to missing raw data raises concern due to sparse and irregular sampling in SAR raw data caused by new mission requirements, sensor geometries, jamming, interference, and so on [8].…”

Section: Introductionmentioning

confidence: 99%

High Resolution Imaging from Azimuth Missing SAR Raw Data via Segmented Recovery

Qian

Zhu

2019

Electronics

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Synthetic Aperture Radar (SAR) raw data missing occurs when radar is interrupted by various influences. In order to cope with this problem, a new method is proposed to focus the azimuth missing SAR raw data via segmented recovery in this paper. A reference function in time domain is designed to make the missing raw data sparser in two dimensional frequency domain. Afterwards, greedy algorithms are available to recover the missing data in two dimensional frequency domain. In addition, in order to avoid range frequency aliasing problem caused by reference function multiplication in time domain, the missing raw data is split into several parts in range direction and is recovered with a segmented recovery strategy. Then, the recovered raw data is available to be focused with traditional SAR imaging algorithms. The range migration algorithm is chosen to deal with the recovered raw data in this paper. Point target and area target simulations are carried out to validate the effectiveness of the proposed method on azimuth missing SAR raw data. Moreover, the proposed method is implemented on real SAR data in order to further provide convincing demonstration.

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“…Synthetic aperture radar (SAR) has become an indispensable means for remote sensing, which is competent to provide high resolution images and videos for monitoring various targets under any weather condition [1][2][3][4][5][6][7]. With the desire for higher resolution, the future task of spaceborne SAR challenges the development of SAR imaging algorithms [8].…”

Section: Introductionmentioning

confidence: 99%

Focusing of Ultrahigh Resolution Spaceborne Spotlight SAR on Curved Orbit

Qian

Zhu

2019

Electronics

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Aiming to acquire ultrahigh resolution images, algorithms for spaceborne spotlight synthetic aperture radar (SAR) imaging typically confront challenges of curved orbit and azimuth spectral aliasing. In order to conquer these difficulties, a method is proposed in this paper to obtain ultrahigh resolution spaceborne SAR images on a curved orbit, which is composed of the modified RMA (Range Migration Algorithm) and the modified deramping-based approach. The modified RMA is developed to deal with the effect introduced by a curved orbit and the modified deramping-based approach is utilized to handle the problem of azimuth spectral aliasing. In the modified RMA, the polynomial expression of SAR two-dimensional spectrum on a curved orbit is derived with fourth-order azimuth phase history model and series reversion. Then, the singular value decomposition (SVD) is applied to decompose the expression of SAR two-dimensional spectrum numerically in order to acquire coordinates for Stolt interpolation in the scenario of curved orbit. In addition, the modified deramping-based approach is derived by introducing orbital state vectors in order to accommodate the situation of curved orbit in the proposed method. Experiments are implemented on point target simulation in order to verify the effectiveness of the presented method. In experiments, the range and azimuth resolution can achieve 0.15 m and 0.14 m, with focused scene size of 3 km by 3 km.

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Ground-Based 3D Radar Imaging of Trees Using a 2D Synthetic Aperture

Cited by 11 publications

References 14 publications

An investigation of the performances of polarimetric target decompositions using GB-SAR imaging

An investigation of the performances of polarimetric target decompositions using GB-SAR imaging

High Resolution Imaging from Azimuth Missing SAR Raw Data via Segmented Recovery

Focusing of Ultrahigh Resolution Spaceborne Spotlight SAR on Curved Orbit

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