Feasibility analysis on the chirp scaling based wideband and wide swath synthetic aperture imaging algorithm

2016 ◽  
Author(s):  
Jinhua Lv ◽  
Zhen Tian ◽  
Guangyu Cheng ◽  
Yong Hong
2014 ◽  
Vol 58 ◽  
pp. 193-203 ◽  
Author(s):  
Jianfei Chen ◽  
Yuehua Li ◽  
Jianqiao Wang ◽  
Yuanjiang Li ◽  
Yilong Zhang

2018 ◽  
Vol 38 (5) ◽  
pp. 0528002
Author(s):  
张波 Zhang Bo ◽  
周煜 Zhou Yu ◽  
孙建锋 Sun Jianfeng ◽  
张国 Zhang Guo ◽  
李光远 Li Guangyuan ◽  
...  

2014 ◽  
Vol 34 (12) ◽  
pp. 1228003
Author(s):  
孙志伟 Sun Zhiwei ◽  
侯培培 Hou Peipei ◽  
职亚楠 Zhi Yanan ◽  
孙建锋 Sun Jianfeng ◽  
许倩 Xu Qian ◽  
...  

2014 ◽  
Vol 34 (12) ◽  
pp. 1211004
Author(s):  
张闯 Zhang Chuang ◽  
陈晓冬 Chen Xiaodong ◽  
汪毅 Wang Yi ◽  
李莹 Li Ying ◽  
焦志海 Jiao Zhihai ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Jiaqi Ning ◽  
Dacheng Liu ◽  
Kaiyu Liu ◽  
Heng Zhang ◽  
Yingjie Wang

In the scanning synthetic aperture radar (ScanSAR) mode, the radar antenna sweeps through different range subswaths to image a wide swath. The full-aperture imaging algorithm for ScanSAR data has been widely used because it can be realized by exploiting the existing standard high-precision Stripmap SAR processor and does not require stitch processing in the azimuth. However, both the focused image and the interferogram achieved by full-aperture processing suffer from spikes. The spikes adversely affect the ScanSAR-related applications, such as target detection and interferometry. To effectively suppress the spikes, an improved algorithm based on the missing-data iterative adaptive approach (MIAA) is proposed in this manuscript. Besides, the proposed method can also improve the azimuth resolution of ScanSAR images. Simulation and experimental results demonstrate that this algorithm has better performance when processing ScanSAR data compared with existing methods.


2013 ◽  
Vol 141 ◽  
pp. 517-535 ◽  
Author(s):  
Jianfei Chen ◽  
Yuehua Li ◽  
Jianqiao Wang ◽  
Yuanjiang Li ◽  
Yilong Zhang

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