Spaceborne SAR Imaging Algorithm for Coherence Optimized

PLoS One. 2016 Feb 12;11(2):e0148823. doi: 10.1371/journal.pone.0148823. eCollection 2016.

Abstract

This paper proposes SAR imaging algorithm with largest coherence based on the existing SAR imaging algorithm. The basic idea of SAR imaging algorithm in imaging processing is that output signal can have maximum signal-to-noise ratio (SNR) by using the optimal imaging parameters. Traditional imaging algorithm can acquire the best focusing effect, but would bring the decoherence phenomenon in subsequent interference process. Algorithm proposed in this paper is that SAR echo adopts consistent imaging parameters in focusing processing. Although the SNR of the output signal is reduced slightly, their coherence is ensured greatly, and finally the interferogram with high quality is obtained. In this paper, two scenes of Envisat ASAR data in Zhangbei are employed to conduct experiment for this algorithm. Compared with the interferogram from the traditional algorithm, the results show that this algorithm is more suitable for SAR interferometry (InSAR) research and application.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • China
  • Geographic Mapping*
  • Image Processing, Computer-Assisted*
  • Radar
  • Satellite Imagery
  • Spectrum Analysis

Grants and funding

This work has been partially supported by the National Natural Science Foundation of China, (Grant No. 41174002), and also by Hunan Provincial Key Laboratory of Hydropower Development Key Technology, (Grant No. PKLHD201311).