Fast interferometric synthetic aperture radar deformation parameter estimation method based on time difference baseline set

2019 ◽  
Vol 55 (19) ◽  
pp. 1059-1061 ◽  
Author(s):  
Feiyang Xue ◽  
Xiaolei Lv ◽  
Jili Yuan ◽  
Ye Yun
Keyword(s):  
Parameter Estimation ◽  
Synthetic Aperture Radar ◽  
Deformation Parameter ◽  
Estimation Method ◽  
Time Difference ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Parameter Estimation Method ◽  
Aperture Radar

scholarly journals Parameter estimation in multi-antenna system based on iterative adaptive approach

2018 ◽  
Vol 232 ◽  
pp. 04064
Author(s):  
Lihua Lei ◽  
Ju Zhou
Keyword(s):  
Parameter Estimation ◽  
Synthetic Aperture Radar ◽  
Estimation Method ◽  
Velocity Estimation ◽  
Motion Parameter ◽  
Synthetic Aperture ◽  
Target Velocity ◽  
Adaptive Approach ◽  
Iterative Adaptive Approach ◽  
Aperture Radar

As one of the main means for remote sensing and detecting, synthetic aperture radar is playing more important role in many fields such as country reconnaissance, ocean observation, environment disaster monitoring and military reconnaissance. The synthetic aperture radar system based on multi-antenna technology can achieve high resolution of still image and estimate the motion parameter. The echo model of target is set up for motion parameter estimation and the performance of system parameter estimation is given according to the moving target velocity estimation method based on iterative adaptive approach.

scholarly journals Synthetic Aperture Radar Image Background Clutter Fitting Using SKS + MoM-BasedG0Distribution

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Zhengwei Zhu ◽  
Jianjiang Zhou ◽  
Hongyu Chu
Keyword(s):  
Parameter Estimation ◽  
Synthetic Aperture Radar ◽  
Estimation Method ◽  
Synthetic Aperture Radar Image ◽  
Synthetic Aperture ◽  
Characteristic Functions ◽  
Sar Image ◽  
Method Of Moment ◽  
Distribution Parameter Estimation ◽  
Aperture Radar

G0distribution can accurately model various background clutters in the single-look and multilook synthetic aperture radar (SAR) images and is one of the most important statistic models in the field of SAR image clutter modeling. However, the parameter estimation ofG0distribution is difficult, which greatly limits the application of the distribution. In order to solve the problem, a fast and accurateG0distribution parameter estimation method, which combines second-kind statistics (SKS) technique with Freitas’ method of moment (MoM), is proposed. First we deduce the first and second second-kind characteristic functions ofG0distribution based on Mellin transform, and then the logarithm moments and the logarithm cumulants corresponding to the above-mentioned characteristic functions are derived; finally combined with Freitas’ method of moment, a simple iterative equation which is used for estimating theG0distribution parameters is obtained. Experimental results show that the proposed method has fast estimation speed and high fitting precision for various measured SAR image clutters with different resolutions and different number of looks.

scholarly journals Removal of systematic seasonal atmospheric signal from interferometric synthetic aperture radar ground deformation time series

2014 ◽  
Vol 41 (17) ◽  
pp. 6123-6130 ◽  
Author(s):  
Sergey V. Samsonov ◽  
Alexander P. Trishchenko ◽  
Kristy Tiampo ◽  
Pablo J. González ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Time Series ◽  
Synthetic Aperture Radar ◽  
Ground Deformation ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Aperture Radar
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