Bistatic SAR Processing and Experiments

Walterscheid, Ingo; Ender, Joachim; Brenner, Andreas; Loffeld, Otmar

doi:10.1109/tgrs.2006.881848

Cited by 177 publications

(63 citation statements)

References 7 publications

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“…(56) are now neglected. Thus, it yields the ψ shift at the σ c maximum expressed by the Stokes parameters as follows tan 2ψ = U s I hs − I vs (59) It can be seen that the third Stokes parameter U s = 0 does cause the ψ shift. By the way, if both U s and I hs − I vs approach zero, e.g., scattering from uniformly oriented scatterers or isotropic scatter media such as thick vegetation canopy, ψ cannot be well defined by Eq.…”

Section: The ψ Shift As a Function Of The Stokes Parametersmentioning

confidence: 99%

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Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

Jin

2010

PIER

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Abstract-Synthetic aperture radar (SAR) imagery technology is one of most important advances in space-borne microwave remote sensing during recent decades. Completely polarimetric scattering from complex terrain surfaces can be measured. Polarimetric SAR (POLSAR), and its relevant technologies, such as POL-interferometric SAR (POLINSAR), bistatic SAR (POL-BISAR), high resolution (in m and dm resolution) SAR, inverse SAR (ISAR) etc., have been providing rich all-weather, all-time and high-resolution data and images of active miscrowave remote sensing. Fully understanding and retrieving information from polarimetric scattering signatures of natural media and SAR images have become a key issue for the SAR remote sensing and its broad applications. Many researches on polarimetric scattering and SAR imagery technology have been carried out (e.g., [1][2][3][4][5][6]). This paper presents a review of the research works in Fudan University (FDU) during recent years on theoretical modeling of the terrain surface for polarimetric scattering simulation and Mueller matrix solution, mono-static and bistatic SAR image simulation, new parameters for unsupervised surface classification, DEM inversion, change detection from multi-temporal SAR images, and reconstructions of buildings from multi-aspect SAR images, etc. . Some applications are briefly reported.Corresponding author: Y.-Q. Jin (yqjin@fudan.ac.cn).

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Section: The ψ Shift As a Function Of The Stokes Parametersmentioning

confidence: 99%

“…Bistatic SAR (BISAR) with separated transmitter and receiver flying on different platforms has become of great interests [58][59][60][61]. Most of BISAR research is focused on the engineering realization and signal processing algorithm with few on land-based bistatic experiments or theoretical modeling of bistatic scattering.…”

Section: Bistatic Sar Imagingmentioning

confidence: 99%

Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

Jin

2010

PIER

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“…However, in the azimuth-invariant bistatic SAR mode, this situation may be different [11,28]. The delay times for the "old" and "new" subapertures are:…”

Section: Bistatic Sar Casementioning

confidence: 99%

An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing

et al. 2018

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Abstract:The backprojection (BP) algorithm has been applied to every SAR mode due to its great focusing quality and adaptability. However, the BP algorithm suffers from immense computational complexity. To improve the efficiency of the conventional BP algorithm, several fast BP (FBP) algorithms, such as the fast factorization BP (FFBP) and Block_FFBP, have been developed in recent studies. In the derivation of Block_FFBP, range data are divided into blocks, and the upsampling process is performed using an interpolation kernel instead of a fast Fourier transform (FFT), which reduces the processing efficiency. To circumvent these limitations, an accelerated BP algorithm based on Block_FFBP is proposed. In this algorithm, a fixed number of pivots rather than the beam centers is applied to construct the relationship of the propagation time delay between the "new" and "old" subapertures. Partition in the range dimension is avoided, and the range data are processed as a bulk. This accelerated BP algorithm benefits from the integrated range processing scheme and is extended to bistatic SAR processing. In this sense, the proposed algorithm can be referred to simply as MoBulk_FFBP for the monostatic SAR case and BiBulk_FFBP for the bistatic SAR case. Furthermore, for monostatic and azimuth-invariant bistatic SAR cases where the platform runs along a straight trajectory, the slant range mapping can be expressed in a continuous and analytical form. Real data from the spaceborne/stationary bistatic SAR experiment with TerraSAR-X operating in the staring spotlight mode and from the airborne spotlight SAR experiment acquired in 2016 are used to validate the performances of BiBulk_FFBP and MoBulk_FFBP, respectively.

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“…If both receiver and transmitter, or illuminator, operate in the microwave band, the latter could be a radar, a communication or navigation satellite. For instance, non-cooperating systems can use already-existing satellite Synthetic Aperture Radars (SARs) as transmitters [2,3], as well as the signal transmitted by Global Positioning System (GPS) satellites [4,5]. Bistatic applications were investigated in the fields of target detection [6,7] and planetology [8].…”

Section: Open Accessmentioning

confidence: 99%

Use of Satellite Radar Bistatic Measurements for Crop Monitoring: A Simulation Study on Corn Fields

et al. 2013

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This paper presents a theoretical study of microwave remote sensing of vegetated surfaces. The purpose of this study is to find out if satellite bistatic radar systems can provide a performance, in terms of sensitivity to vegetation geophysical parameters, equal to or greater than the performance of monostatic systems. Up to now, no suitable bistatic data collected over land surfaces are available from satellite, so that the electromagnetic model developed at Tor Vergata University has been used to perform simulations of the scattering coefficient of corn, over a wide range of observation angles at L-and C-band. According to the electromagnetic model, the most promising configuration is the one which measures the VV or HH bistatic scattering coefficient on the plane that lies at the azimuth angle orthogonal with respect to the incidence plane. At this scattering angle, the soil contribution is minimized, and the effects of vegetation growth are highlighted.

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Bistatic SAR Processing and Experiments

Cited by 177 publications

References 7 publications

Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

Polarimetric Scattering Modeling and Information Retrieval of Sar Remote Sensing --- A Review of Fdu Work

An Accelerated Backprojection Algorithm for Monostatic and Bistatic SAR Processing

Use of Satellite Radar Bistatic Measurements for Crop Monitoring: A Simulation Study on Corn Fields

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