Circular SAR experiment for human body imaging

Tan, Weixian; Wang, Yanping; Hong, Wen; Wu, Yirong; Li, Nanjing; Hu, Chufeng; Zhang, Linxi

doi:10.1109/apsar.2007.4418562

Cited by 6 publications

(6 citation statements)

References 9 publications

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“…pixel perimeter of target pixel area of target (9) After introducing the evaluation index of contour thinning degree, the optimization problem can be described as follows: argmax…”

Section: D(i) =mentioning

confidence: 99%

“…Subsequently, many researchers have studied the imaging theory of circular SAR. The Air Force Research Laboratory (AFRL) and other organizations have conducted several experimental tests of WSAR and CSAR and released several test datasets and challenge problems about WSAR and CSAR [6][7][8][9][10][11][12][13]. Zhang et al presented an approximation method using linear spotlight SAR to simulate CSAR [14,15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modulus Stretch-Based Circular SAR Imaging with Contour Thinning

Peng

Zheng³

2019

Applied Sciences

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This paper presents a modulus stretch-based circular Synthetic Aperture Radar (SAR) imaging method. This method improves the traditional backprojection algorithm for circular SAR imaging, and introduces the modulus stretch transformation function in the imaging process. By performing a modulus stretch transformation on the intermediate results, the target contour in the final imaging result is thinner and clearer. A thinner and clearer contour can help to increase the recognizability of the target and provide a basis for subsequent target recognition. The proposed method is demonstrated on the line target imaging simulations and Gothca dataset.

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“…pixel perimeter of target pixel area of target (9) After introducing the evaluation index of contour thinning degree, the optimization problem can be described as follows: argmax…”

Section: D(i) =mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modulus Stretch-Based Circular SAR Imaging with Contour Thinning

Peng

Zheng³

2019

Applied Sciences

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show abstract

“…Therefore, the imaging process is always performed point by point, such as tomographic algorithm and fast cyclical convolution algorithm. The near-field tomographic algorithm has been used to evaluate the image at Cartesian grid points [6][7][8][9] and [18]. The downrange profiles are computed for all angles using an FFT-algorithm with appropriate zero-padding.…”

Section: Introductionmentioning

confidence: 99%

A Novel Fast Near-Field Electromagnetic Imaging Method for Full Rotation Problem

Yan¹,

Jia-dong²,

Li³

et al. 2011

PIER

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Abstract-A fast method for electromagnetic imaging from monostatic full rotational near-field scattering is proposed in this paper. It is based on circular spectrum theory which exploits the Fourier decomposition of the targets distribution instead of point by point imaging in earlier works. The novelty of the proposed method is that it simplifies the relationship between the spatial frequency domain and the scattering field. The near-field scattering is analyzed by expanding the distance to Taylor series at the centre of the targets zone. The nearfield focus function is then transformed to spatial frequency domain and evaluated by the method of stationary phase. The imaging result is given by two-dimensional inverse Fourier transformation from spatial frequency domain of targets. The proposed method is validated by comparing the simulation results of distributed targets with the tomographic imaging. The dynamic range of imaging result is derived by distributed targets with different reflection coefficient. Furthermore, the experiment is also conducted in microwave chamber at Ku band with target placed on the turntable.

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“…The advantage of CSAR imaging is that it can achieve two-dimensional sub-wavelength resolution image by wide-angle collection. CSAR has been widely used in automatic target recognition (ATR) system [2,3], detection of targets in the foliage or under the ground [4,5], detection of concealed objects in airport security systems [6], and so on.…”

Section: Introductionmentioning

confidence: 99%

A Fast 3d Imaging Technique for Near-Field Circular Sar Processing

Yan¹,

Jia-dong²,

Gao³

et al. 2012

PIER

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Abstract-A fast method for circular SAR three-dimensional imaging system by near-field elevation scanning is proposed in this paper. It is based on cylindrical spectrum theory which exploits the Fourier decomposition of the targets distribution instead of point by point imaging in earlier works. The proposed method sets up the relationship between the target image and the scattering field in spatial frequency domain. This leads to overcome the problem of computational inefficiency which was observed previously in projection-slice theorem. The near-field scattering is firstly analyzed by relating the return signal to the near-field focus function. The near-field focus function is then transformed to spatial frequency domain and evaluated by the method of stationary phase. Finally, the imaging result is given by threedimensional inverse Fourier transformation from spatial frequency domain of targets. The proposed method is validated by the simulation results of distributed targets. In addition, experimental validation was also achieved in microwave chamber at X-band with targets placed on the turntable.

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Circular SAR experiment for human body imaging

Cited by 6 publications

References 9 publications

Modulus Stretch-Based Circular SAR Imaging with Contour Thinning

Modulus Stretch-Based Circular SAR Imaging with Contour Thinning

A Novel Fast Near-Field Electromagnetic Imaging Method for Full Rotation Problem

A Fast 3d Imaging Technique for Near-Field Circular Sar Processing

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