Systems Engineering and Electronics

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SAR target recognition based on active contour without edges

Rui Zhang and Min Zhang*   

  1. School of Physics and Optoelectionic Engineering, Xidian University, Xi’an 710071, China
  • Online:2017-04-25 Published:2010-01-03


A new method for synthetic aperture radar (SAR) target recognition is proposed. This method is accomplished via the combination of active contour without edges, Hu invariantmoments and support vector machine (SVM) classifier. Image segmentation is performed by using active contour without edges. Then seven Hu moments are extracted and normalized as feature vectors. Finally, the SVM classifier is employed for data training and testing by means of MSTAR SAR images. To verify the performance of the proposed method, the traditional active contour (snakes) is used for comparison. The simulation results confirm the feasibility and accuracy of the proposed method in SAR target recognition.