Journal of Xidian University

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Improved polarimetric SAR calibration algorithm considering channel noise

ZHANG Haiying;LI Zhenfang;LI Jinwei;FANG Chao   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)
  • Received:2015-10-25 Online:2016-12-20 Published:2017-01-19

Abstract:

It is necessary to calibrate polarimetric SAR(Synthetic Aperture Radar) data in order to use the data for scientific applications. The present Ainsworth algorithm does not consider the cross-polarization channel noise in estimating the cross-polarization imbalance parameter and therefore the estimation of this parameter is not robust. To solve the above problem, an improved Ainsworth algorithm is presented, which takes the cross-polarization channel noise into consideration. This algorithm can preserve a high performance under the situations of difference cross-polarization channel noise powers and a low signal noise ratio. Experimental results based on simulated and real data confirm the effectiveness of the improved algorithm.

Key words: polarimetric SAR, polarimetric calibration, Ainsworth algorithm