Object recognition based on feature matching of scattering centers in SAR imagery

2012 ◽  
Author(s):  
Tao Tang ◽  
Yi Su
Keyword(s):  
Object Recognition ◽  
Feature Matching ◽  
Scattering Centers ◽  
Sar Imagery

Many-to-Many Feature Matching in Object Recognition

2006 ◽  
pp. 107-125 ◽  
Author(s):  
Ali Shokoufandeh ◽  
Yakov Keselman ◽  
Fatih Demirci ◽  
Diego Macrini ◽  
Sven Dickinson
Keyword(s):  
Object Recognition ◽  
Feature Matching

Aircraft recognition in low-resolution SAR imagery using peak feature matching

2015 ◽  
Author(s):  
Zhaodong Niu ◽  
Jiameng Pan ◽  
Chenglong Lin ◽  
Zengping Chen
Keyword(s):  
Feature Matching ◽  
Low Resolution ◽  
Sar Imagery

scholarly journals Extraction of Anisotropic Characteristics of Scattering Centers and Feature Enhancement in Wide-Angle SAR Imagery Based on the Iterative Re-Weighted Tikhonov Regularization

2018 ◽  
Vol 10 (12) ◽  
pp. 2066 ◽  
Author(s):  
Yuexin Gao ◽  
Mengdao Xing ◽  
Liang Guo ◽  
Zijing Zhang
Keyword(s):  
Tikhonov Regularization ◽  
High Efficiency ◽  
Anisotropic Scattering ◽  
Wide Angle ◽  
Scattering Center ◽  
Imaging Results ◽  
Scattering Centers ◽  
Novel Method ◽  
Sar Imagery ◽  
Actual Shape

The anisotropic characteristic reflects discriminating features of the geometry of a scattering center. In this study, we propose a novel method based on the iterative re-weighted Tikhonov regularization (IRWTR) to achieve the extraction of anisotropic characteristics of scattering centers in the wide-angle SAR synthetic aperture radar (SAR) imaging. Moreover, based on the extracted anisotropic scattering behaviors, the incomplete imaging results of the distributed scattering centers are restored. In this paper, we first discussed the scattering property in SAR imagery from the perspective of attributed scattering center model (ASCM). The reason for the incomplete imaging results of the distributed scattering centers was also discussed based on the ASCM. Subsequently, we modeled the aspect-dependent amplitude responses of a scattering center as a linear combination of a set of orthogonal basis. Consequently, the extraction of anisotropic characteristics can be transformed into an inverse problem, which was solved by the proposed IRWTR with high efficiency and accuracy. After the extraction, we attempted to restore the complete image of a distributed scattering center, which consisted of only two points. The enhanced SAR image can reveal the actual shape of a target. Processing results of electromagnetic computation data validated that the proposed method is effective and efficient.

scholarly journals Object Recognition as Many-to-Many Feature Matching

2006 ◽  
Vol 69 (2) ◽  
pp. 203-222 ◽  
Author(s):  
M. Fatih Demirci ◽  
Ali Shokoufandeh ◽  
Yakov Keselman ◽  
Lars Bretzner ◽  
Sven Dickinson
Keyword(s):  
Object Recognition ◽  
Feature Matching

Robot robust object recognition based on fast SURF feature matching

2013 ◽  
Author(s):  
Mingfang Du ◽  
Junzheng Wang ◽  
Jing Li ◽  
Haiqing Cao ◽  
Guangtao Cui ◽  
...  
Keyword(s):  
Object Recognition ◽  
Feature Matching
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