An analysis of coherence optimization methods in PolInSAR

The combination of SAR polarimetry and SAR interferometry introduced many new research and application fields. The major parameter which is computed from observable of polarimetric interferometric SAR (PolInSAR) is the complex coherence. But coherences are easily influenced by many factors, like temporal or spatial baseline, or noise. In this paper, we probe into the several optimization algorithms of the PolInSAR, and they can be classified (E.C.W. Tabbara, 2006) to the two-mechanism (2MC) optimization and the single-mechanism coherence optimization (IMC) respectively, and these representative methods of coherence optimization are compared and their advantages and disadvantages are assessed and outlined. The comparison is carried out with SIR-C/X-SAR data over the Tienshan area of China.