Absolute phase determination for low‐frequency ultra‐wideband synthetic aperture radar interferometry

2016 ◽  
Vol 10 (2) ◽  
pp. 426-433 ◽  
Author(s):  
Junyi Xu ◽  
Daoxiang An ◽  
Xiaotao Huang ◽  
Guangxue Wang
Keyword(s):  
Synthetic Aperture Radar ◽  
Low Frequency ◽  
Radar Interferometry ◽  
Ultra Wideband ◽  
Synthetic Aperture ◽  
Phase Determination ◽  
Synthetic Aperture Radar Interferometry ◽  
Absolute Phase ◽  
Aperture Radar

Deformation information extraction method based on differential synthetic aperture radar interferometry

2020 ◽  
Vol 39 (4) ◽  
pp. 5311-5318
Author(s):  
Zhengquan Hu ◽  
Yu Liu ◽  
Xiaowei Niu ◽  
Guoping Lei
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Adaptive Filtering ◽  
Extraction Method ◽  
Deformation Monitoring ◽  
Radar Interferometry ◽  
Synthetic Aperture ◽  
Filtering Method ◽  
Synthetic Aperture Radar Interferometry ◽  
Aperture Radar

As aerospace technology, computer technology, network communication technology and information technology become more and more perfect, a variety of sensors for measurement and remote sensing are constantly emerging, and the ability to acquire remote sensing data is also continuously enhanced. Synthetic Aperture Radar Interferometry (InSAR) technology greatly expands the function and application field of imaging radar. Differential InSAR (DInSAR) developed based on InSAR technology has the advantages of high precision and all-weather compared with traditional measurement methods. However, DInSAR-based deformation monitoring is susceptible to spatiotemporal coherence, orbital errors, atmospheric delays, and elevation errors. Since phase noise is the main error of InSAR, to determine the appropriate filtering parameters, an iterative adaptive filtering method for interferogram is proposed. For the limitation of conventional DInSAR, to improve the accuracy of deformation monitoring as much as possible, this paper proposes a deformation modeling based on ridge estimation and regularization as a constraint condition, and introduces a variance component estimation to optimize the deformation results. The simulation experiment of the iterative adaptive filtering method and the deformation modeling proposed in this paper shows that the deformation information extraction method based on differential synthetic aperture radar has high precision and feasibility.

Detection of geohazards in the Bailong River Basin using synthetic aperture radar interferometry

Landslides ◽  
2015 ◽  
Vol 13 (5) ◽  
pp. 1273-1284 ◽  
Author(s):  
Yi Zhang ◽  
Xingmin Meng ◽  
Guan Chen ◽  
Liang Qiao ◽  
Runqiang Zeng ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
River Basin ◽  
Radar Interferometry ◽  
Synthetic Aperture ◽  
Synthetic Aperture Radar Interferometry ◽  
Bailong River Basin ◽  
Aperture Radar
Sign in / Sign up

Export Citation Format

Share Document