New development of ECS algorithm for SAR imaging processing

2009 ◽  
Author(s):  
Qu Changwen ◽  
Zhou Qiang ◽  
Chen Yong ◽  
Hou Haiping
Keyword(s):  
Imaging Processing ◽  
New Development ◽  
Sar Imaging

scholarly journals Joint Two-Dimensional Ambiguity Resolving Based on Space-Time Filtering for MIMO-SAR

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Ping-ping Huang ◽  
Hua-sheng Li ◽  
Sheng Zhang ◽  
Guang-Cai Sun
Keyword(s):  
Incidence Angle ◽  
Dimensional Space ◽  
Space Time ◽  
Two Dimensional ◽  
Imaging Processing ◽  
Steering Vector ◽  
Time Simulation ◽  
Sar Imaging ◽  
Dimensional Space Time ◽  
Simulation Results

In order to resolve the range and azimuth ambiguity in MIMO-SAR imaging, this paper proposed a joint two-dimensional ambiguity resolving method based on space-time filtering, which according to the ambiguity in different subscene is relative to different nearest echo range, and different azimuth time is relative to different instantaneous incidence angle, to make two-dimensional space-time steering vector for resolving ambiguity of the echo, which also can finish the imaging processing at the same time. Simulation results validate the proposed processing approach for the MIMO-SAR system.

scholarly journals Efficiency balanced matrix transpose method for sliding spotlight SAR imaging processing

2019 ◽  
Vol 2019 (21) ◽  
pp. 7775-7778
Author(s):  
Tianyuan Sun ◽  
Yizhuang Xie ◽  
Bingyi Li
Keyword(s):  
Imaging Processing ◽  
Sar Imaging ◽  
Matrix Transpose

scholarly journals A Modified Cartesian Factorized Backprojection Algorithm Integrating with Non-Start-Stop Model for High Resolution SAR Imaging

2020 ◽  
Vol 12 (22) ◽  
pp. 3807
Author(s):  
Da Liang ◽  
Heng Zhang ◽  
Tingzhu Fang ◽  
Haoyu Lin ◽  
Dacheng Liu ◽  
...  
Keyword(s):  
High Resolution ◽  
Frequency Modulation ◽  
Simulation Experiment ◽  
Synthetic Aperture ◽  
Time Varying ◽  
Sar Image ◽  
Imaging Processing ◽  
Sar Imaging ◽  
Disaster Monitoring ◽  
Modulation Rate

High resolution synthetic aperture radar (SAR) imaging has extensive application value especially in military reconnaissance and disaster monitoring. The motion of the satellite during the transmission and reception of the signal introduces notable errors in the high resolution SAR spotlight mode, which will lead to a defocused SAR image if not handled. To address this problem, an accurate correct echo model based on non-start-stop model is derived to describe the property of the SAR signal in the paper. Then, in the imaging processing, an azimuth-time-varying range frequency modulation rate is used for range compression. The range history and compensation phase are also derived based on the correct echo model. Then, combining the correct echo model and Cartesian factorized backprojection (CFBP) algorithm, a modified CFBP algorithm is proposed for SAR imaging to improve the accuracy and efficiency of processing. Besides, the influence of residual error due to mismatch is analyzed in detail. In the end, the simulation experiment and Gaofen-3 (GF-3) data experiment are carried out to demonstrate the feasibility of the proposed algorithm.

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