Exploitation of target shadows in synthetic aperture radar imagery for automatic target recognition

2006 ◽  
Author(s):  
John A. Saghri ◽  
Andrew DeKelaita
Keyword(s):  
Synthetic Aperture Radar ◽  
Target Recognition ◽  
Automatic Target Recognition ◽  
Synthetic Aperture ◽  
Radar Imagery ◽  
Synthetic Aperture Radar Imagery ◽  
Aperture Radar

scholarly journals Automatic Target Recognition in Synthetic Aperture Radar Imagery: A State-of-the-Art Review

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 6014-6058 ◽  
Author(s):  
Khalid El-Darymli ◽  
Eric W. Gill ◽  
Peter Mcguire ◽  
Desmond Power ◽  
Cecilia Moloney
Keyword(s):  
Synthetic Aperture Radar ◽  
State Of The Art ◽  
Target Recognition ◽  
Automatic Target Recognition ◽  
Synthetic Aperture ◽  
Radar Imagery ◽  
Synthetic Aperture Radar Imagery ◽  
Aperture Radar

Applications of Statistical Directional Characteristics in Synthetic Aperture Radar Imagery Interpretation

2012 ◽  
Vol 239-240 ◽  
pp. 1269-1273
Author(s):  
Si Chen ◽  
Dong Ya Wang ◽  
Jian Yang
Keyword(s):  
Synthetic Aperture Radar ◽  
Target Recognition ◽  
Synthetic Aperture ◽  
Line Detection ◽  
Directional Characteristics ◽  
Radar Imagery ◽  
Synthetic Aperture Radar Imagery ◽  
Sar Imagery ◽  
Aperture Radar

The concept of Statistical Directional Characteristics (SDCs) is introduced in this paper. The applications of SDCs in Synthetic Aperture Radar (SAR) imagery interpretation are discussed. Two applications, i.e., target recognition and line detection, are raised to demonstrate the effectiveness of the SDCs-based methods. Both numerical and graphical results are presented. According to the experiment results, the SDCs-based methodology shows advantages both in robustness and in efficiency.

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