PolInSAR complex coherence estimation based on covariance matrix similarity test

Si Wei Chen, Xue Song Wang, Motoyuki Sato

研究成果: Article査読

73 被引用数 (Scopus)


Most polarimetric synthetic aperture radar interferometry (PolInSAR) data processing procedures and their applications are based on the polarimetric complex coherence descriptor. The reliable estimation of the complex coherence requires selecting sufficient homogeneous pixels for generating an unbiased estimator. In this paper, two indicators using only polarimetric and both polarimetric and interferometric information are derived as the similarity measures for complex Wishart distributed PolInSAR covariance matrix, respectively. Using these indicators, a double similarity test scheme, which shows high sensitivity to both polarimetric and interferometric properties, is proposed for similar pixel selection. The full information utilization could characterize the homogeneous pixels more accurately. Furthermore, since the similarity test has the potential to reject the pixels with different populations, it is suitable to be applied in a large searching area (e.g., 15 × 15 window) to accept sufficient homogeneous pixels. Thereby, combining with unbiased estimator, reliable estimation is achieved. The efficiency and advantage of the proposed estimation scheme are demonstrated with the aid of simulated and real PolInSAR data sets.

ジャーナルIEEE Transactions on Geoscience and Remote Sensing
11 PART2
出版ステータスPublished - 2012

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 地球惑星科学(全般)


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