Journal of Systems Engineering and Electronics ›› 2009, Vol. 31 ›› Issue (8): 1870-1873.

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Airport detection algorithm in large area satellite borne SAR images

ZHOU Nuo, CHEN Wei, ZHAO Hui, SHANG Bin, LI Shao-hong   

  1. School of Electronic and Information Engineering, Beihang Univ., Beijing 100191, China
  • Received:2008-04-01 Revised:2008-11-19 Online:2009-08-20 Published:2010-01-03

Abstract: This paper mainly discusses airport detection in the large area satellite-borne synthetic aperture radar(SAR) images.A new algorithm based on features of the regional shape is proposed.It employs an adaptive clustering method to solve the problem of small target segmentation from large area and complex background images.The ellipse-fitting method is utilized to approximate the scale and the shape of the considered region instead of the widely used approaches of the minimum enclosing rectangle and the bounding box.Several large area satellite-borne SAR images collected from separated scenes are used for experiment.The results show that the proposed algorithm is able to detect single or multiple airports with variable runways in a short time.

CLC Number: 

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