According to PSInSAR is still a developing technique, there are many group have keep publish the new algorithm such as StaMPS by Hooper et al. [2006], SBAS by Berardino et al. [2002], and Liu et al. [2008]. In the future, I will try to combine these different methods and retain proper algorithm for Taiwan Island. Followings are some ideas:
1. For the vegetation area like the Yunlin County, we can quote the idea of SBAS from Berardino et al. [2002] to enhance the correlation between each interferogram. Thus, more PS points could be generated to reduce the discontinuous of phase changes.
2. Using PS-Network method developed by Liu et al. [2008] to connect each two PS candidates for better calibrating the linear velocity fitness.
3. Calculating the DEM error and linear deformation velocity respectively by using idea from Hooper et al. [2004] in case of interfering with each other during coregistering the linear deformation.
4. Finding out the suitable cut frequency for isolate the contribution of nonlinear deformation from atmospheric delay; On the other hand, the Empirical Mode Decomposition (EMD) is also another method to procure this destination.
Furthermore, due to the successful in Yunlin area, the PSInSAR technique has been proven that using this pixel-by-pixel analysis can overcome the spatial decorrelation caused by dense vegetation. Thus, applying PSInSAR technique to mountain area will not be a difficult task. In addition, the L-band satellite is also an effective source to monitor the surface which with dense vegetation.
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Appendix A
Followings are MATLAB programs and parameters I used in this study:
programs process parameter
1 select_PSC_coh.m 2.4.3 Persistent scatterers
identificationn coh >= 0.3 2 Mora_triangle.m 2.4.4 Delauney
2.4.5 Isolating nonlinear deformation from