A novel method for multi-angle SAR image matching

Multi-angle synthetic aperture radar(SAR) image matching is very challenging, because the same object may cause different backscattering patterns, heavily depending on the radar incident angle. A technique based on the relations between the invariant positions of ground targets among the reference and sensed images is proposed to accommodate the nonmatching patterns. It involves a target extraction using wavelet coefficient fusion, as well as a geometric voting matching routine for searching the matched control points(CPs) in the reference and sensed images, respectively. To accelerate the speed of the search, a robust, rapidly corresponding CPs determination strategy is exploited by utilizing the global spatial transformation model, as well as a procedure of outlier removal to ensure the desired accuracy. Meanwhile, the positions of the matched point pairs are relocated using mutual information. The final warping of the images according to the CPs is performed by using a polynomial function. The results show the possibility of matching multi-angle SAR images in general cases.     

聚碳硅烷的分子量和流体力学特性表征

通过研究聚碳硅烷溶液的流体力学参数与分子量的关系以及比浓黏度与浓度的关系,得到了聚碳硅烷的分子结构信息。结果表明,聚碳硅烷绝对重均分子量M_w为1.098×10⁴ g/mol,分子量分布MWD为6.7,第二维利系数A₂为1.57×10^-3 cm³·mol/g²,Huggins常数k’为1.85,流体力学半径与分子量间的标度指数b为0.21。在室温条件下,良溶剂四氢呋喃稀溶液中,聚碳硅烷链段空间分布较为紧密,分子链为非线型结构。