Imaging method for downward-looking sparse linear array three-dimensional synthetic aperture radar based on reweighted atomic norm

2016 ◽  
Vol 10 (1) ◽  
pp. 015008 ◽  
Author(s):  
Qian Bao ◽  
Kuoye Han ◽  
Yun Lin ◽  
Bingchen Zhang ◽  
Jianguo Liu ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Linear Array ◽  
Three Dimensional ◽  
Synthetic Aperture ◽  
Imaging Method ◽  
Atomic Norm ◽  
Sparse Linear Array ◽  
Aperture Radar

scholarly journals Precision Downward-Looking 3D Synthetic Aperture Radar Imaging with Sparse Linear Array and Platform Motion Parameters Estimation

2018 ◽  
Vol 10 (12) ◽  
pp. 1957 ◽  
Author(s):  
Qiyong Liu ◽  
Ying Luo ◽  
Qun Zhang ◽  
Wen Hong ◽  
Tat Yeo
Keyword(s):  
Synthetic Aperture Radar ◽  
Linear Array ◽  
Three Dimensional ◽  
Synthetic Aperture ◽  
Platform Motion ◽  
Yaw Rate ◽  
Sparse Linear Array ◽  
Sar Imaging ◽  
Cross Track ◽  
Aperture Radar

The downward-looking sparse linear array three-dimensional synthetic aperture radar (DLSLA 3D SAR) has attracted a great deal of attention, due to the ability to obtain three-dimensional (3D) images. However, if the velocity and the yaw rate of the platform are not measured with enough accuracy, the azimuth signal cannot be compressed and then the 3D image of the scene cannot be obtained. In this paper, we propose a method for platform motion parameter estimation, and downward-looking 3D SAR imaging. A DLSLA 3D SAR imaging model including yaw rate was established. We then calculated the Doppler frequency modulation, which is related to the cross-track coordinates rather than the azimuth coordinates. Thus, the cross-track signal reconstruction was realized. Furthermore, based on the minimum entropy criterion (MEC), the velocity and yaw rate of the platform were accurately estimated, and the azimuth signal compression was also realized. Moreover, a deformation correction procedure was designed to improve the quality of the image. Simulation results were given to demonstrate the validity of the proposed method.

Imaging Method of Downward-Looking Three-Dimensional Synthetic Aperture Radar Based on Bayesian Learning

2017 ◽  
Vol 37 (6) ◽  
pp. 0611003
Author(s):  
康 乐 Kang Le ◽  
张 群 Zhang Qun ◽  
李涛泳 Li Taoyong ◽  
顾福飞 Gu Fufei
Keyword(s):  
Synthetic Aperture Radar ◽  
Bayesian Learning ◽  
Three Dimensional ◽  
Synthetic Aperture ◽  
Imaging Method ◽  
Aperture Radar

A test of airborne, side-looking synthetic-aperture radar in central Newfoundland for geological reconnaissance

1991 ◽  
Vol 28 (2) ◽  
pp. 257-265 ◽  
Author(s):  
D. F. Graham ◽  
D. R. Grant
Keyword(s):  
Surface Roughness ◽  
Synthetic Aperture Radar ◽  
Three Dimensional ◽  
Synthetic Aperture ◽  
Structural Elements ◽  
Terrain Classification ◽  
Regional Trends ◽  
Valuable Complement ◽  
Wide Swath ◽  
Aperture Radar

Side-looking, C-band synthetic-aperture radar (SAR) penetrates cloud and fog, and operates day or night, to produce pseudo-three-dimensional terrain images with enhanced topography and surface roughness. The images, which have a 20 m resolution and cover large areas, have been used to map the regional trends, patterns of lineaments, and terrain types over a 6200 km2 area of complex lithology, structure, and drift cover. Four lineament classes are differentiated. Glacial trends are clear, and bedrock structures (faults, fractures, joints, foliation, and folded bedding) with relief expression at the surface show through the drift as lineaments. They accurately reproduce most known features when compared with bedrock and Quatenary geology maps. Hitherto unrecognized structural elements are revealed. Tones and textures reflect minute surface roughness variations useful in terrain classification. SAR wide-swath-mode imagery is thus a valuable complement to aerial photography, and is superior in revealing hummocky moraine, ribbed moraine, boulder fields and stony till. Wider use of this imagery is encouraged.

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