Parameter Optimization for Detecting Seismic Ground Deformation from Airborne SAR Images

Author(s):  
Koichi Ito ◽  
Haruki Imai ◽  
Takafumi Aoki ◽  
Jyunpei Uemoto
Author(s):  
Daiki Maruki ◽  
Shuji Sakai ◽  
Koichi Ito ◽  
Takafomi Aoki ◽  
Jyunpei Uemoto ◽  
...  

Author(s):  
Haruki Imai ◽  
Koichi Ito ◽  
Takafumi Aoki ◽  
Jyunpei Uemoto ◽  
Seiho Uratsuka

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Jianghua Cheng ◽  
Wenxia Ding ◽  
Xishu Ku ◽  
Jixiang Sun

Because of existence of various kinds of disturbances, layover effects, and shadowing, it is difficult to extract road from high-resolution SAR images. A new road center-point searching method is proposed by two alternant steps: local detection and global tracking. In local detection step, double window model is set, which consists of the outer fixed square window and the inner rotary rectangular one. The outer window is used to obtain the local road direction by using orientation histogram, based on the fact that the surrounding objects always range along with roads. The inner window rotates its orientation in accordance with the result of local road direction calculation and searches the center points of a road segment. In global tracking step, particle filter of variable-step is used to deal with the problem of tracking frequently broken by shelters along the roadside and obstacles on the road. Finally, the center-points are linked by quadratic curve fitting. In 1 m high-resolution airborne SAR image experiment, the results show that this method is effective.


2005 ◽  
Vol 41 (4) ◽  
pp. 1338-1352 ◽  
Author(s):  
G. Fornaro ◽  
G. Franceschetti ◽  
S. Perna

2016 ◽  
Vol 8 (6) ◽  
pp. 881-889 ◽  
Author(s):  
Oleksandr O. Bezvesilniy ◽  
Ievgen M. Gorovyi ◽  
Dmytro M. Vavriv

High-resolution imaging with an airborne synthetic aperture radar (SAR) calls for precise trajectory measurements that can hardly be achieved with common navigation systems. In this paper, an efficient method called the local-quadratic map-drift autofocus is developed for the estimation of residual (uncompensated) motion errors directly from the received radar data. The map-drift autofocus is applied locally on short time intervals to estimate the cross-track components of the aircraft acceleration. The estimated acceleration is then integrated to evaluate the residual trajectory errors on the whole data frame interval. The method has been successfully tested with an X-band airborne SAR system.


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