›› 2014, Vol. 27 ›› Issue (5): 140-.

• Articles • Previous Articles     Next Articles

Feature Selection for Target Discrimination in SAR Images Based on Genetic Algorithm

LIU Xuan,WANG Weihong,TANG Xiaobin,LI Peng   

  1. (Institute of Integrated Electronic Information,Electronic Research Academy,Beijing 100041,China)
  • Online:2014-05-15 Published:2014-05-14


This paper offers a reliable and accurate method based on Genetic Algorithm for the application of feature selection in SAR images.First,19 common features used in target discrimination are described.Then,the GA is applied to select the best feature series from the 19 features.In the fitness session,weights and thresholds of the original fitness function are adjusted.The experimental results show that adjusting weights and thresholds of the fitness function accelerates evolution and increases the accuracy and effectiveness of feature selection.

Key words: synthetic aperture radar;target discrimination;feature extraction;feature selection

CLC Number: 

  • TN958