A Novel Method of Non-Cooperative Space-Surface Bistatic SAR Image Geo-Rectification

2013 ◽  
Author(s):  
Tian Zhang ◽  
Tao Zeng ◽  
Cheng Hu ◽  
Weiming Tian
Keyword(s):  
Sar Image ◽  
Bistatic Sar ◽  
Novel Method

scholarly journals Deceptive Jamming Detection for SAR Based on Cross-Track Interferometry

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2265 ◽  
Author(s):  
Qingqing Feng ◽  
Huaping Xu ◽  
Zhefeng Wu ◽  
Wei Liu
Keyword(s):  
Sar Interferometry ◽  
Synthetic Aperture ◽  
Sar Image ◽  
Frequency Detection ◽  
Interferometric Phase ◽  
Deceptive Jamming ◽  
Jamming Detection ◽  
Novel Method ◽  
The Difference ◽  
Cross Track

Deceptive jamming against synthetic aperture radar (SAR) can create false targets or deceptive scenes in the image effectively. Based on the difference in interferometric phase between the target and deceptive jamming signals, a novel method for detecting deceptive jamming using cross-track interferometry is proposed, where the echoes with deceptive jamming are received by two SAR antennas simultaneously and the false targets are identified through SAR interferometry. Since the derived false phase is close to a constant in interferogram, it is extracted through phase filtering and frequency detection. Finally, the false targets in the SAR image are obtained according to the detected false part in the interferogram. The effectiveness of the proposed method is validated by simulation results based on the TanDEM-X system.

Bistatic SAR image formation

2006 ◽  
Vol 153 (3) ◽  
pp. 208 ◽  
Author(s):  
G. Yates ◽  
A.M. Horne ◽  
A.P. Blake ◽  
R. Middleton
Keyword(s):  
Image Formation ◽  
Sar Image ◽  
Bistatic Sar

A novel method for estimation of the target rotation angle in SAR image

2015 ◽  
Author(s):  
Yun Zhang Yun Zhang ◽  
Yuan Zhuang Yuan Zhuang ◽  
Hongzhi Li Hongzhi Li ◽  
Xu Zhang Xu Zhang ◽  
Xiaohui Zhao Xiaohui Zhao
Keyword(s):  
Rotation Angle ◽  
Sar Image ◽  
Target Rotation ◽  
Novel Method

Bistatic Noise SAR Experiment with a Non-Cooperative Illuminator

2011 ◽  
Vol 57 (1) ◽  
pp. 85-89
Author(s):  
Łukasz Maślikowski ◽  
Krzysztof Kulpa
Keyword(s):  
Signal Processing ◽  
Synthetic Aperture Radar ◽  
Noise Signal ◽  
Synthetic Aperture ◽  
Sar Image ◽  
Measurement Campaign ◽  
Bistatic Sar ◽  
Sar Imaging ◽  
Commercial Off The Shelf ◽  
Build System

Bistatic Noise SAR Experiment with a Non-Cooperative IlluminatorThe paper describes the results of a conception-stage experiment with a ground-based bistatic noise SAR (Synthetic Aperture Radar) demonstrator. Its aim was to research the ability of a simple Commercial-Off-The-Shelf (COTS) build system to provide a bistatic SAR image using non-cooperative illuminator. The noise signal used in the experiment is similar to a signal used in many transmission systems such as DVB-T that can be employed in passive bistatic radars. The paper presents the system setup, details of the measurement campaign, signal processing and the results of SAR imaging.

High Accuracy DEM Reconstruction Using SAR Clinometry and Interferometry Method

2013 ◽  
Vol 367 ◽  
pp. 280-285
Author(s):  
Jian Guo Hou ◽  
Yu Chu
Keyword(s):  
High Accuracy ◽  
Weighting Factor ◽  
The Other ◽  
Synthetic Aperture ◽  
Sar Image ◽  
Digital Elevation ◽  
Interferometry Method ◽  
Novel Method ◽  
Elevation Model ◽  
High Coherence

In this paper, a novel method is proposed by combining of radar clinometry and interferometry to improve the accuracy of digital elevation model (DEM) reconstruction. In synthetic aperture radar (SAR) signal processing, the interferometry method uses a couple of high-coherence SAR complex images and the clinometry method uses only one. On one hand, interferometry-derived DEM is much more accurate in regions of higher coherence than the clinometry one. However, in regions of lower coherence, some pronounced errors are produced with the interferometry method due to phase filtering and unwrapping problems. On the other hand, the clinometry method can produce a more robust DEM result by using the intensity of SAR image. Therefore the clinometry-and interferometry-derived DEM is fused by introducing a user-defined weighting factor, where in regions of higher coherence, the DEM results with the interferometry method are remained, and in regions of lower coherence, the interferometry-derived DEM is updated with the clinometry-derived one. Finally, the experimental results with Envisat data show the effectiveness of our approach.

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