摘要
InSAR监测成果中含有大量的冗余信息,影响形变机理反演计算分析的效率,需要进行压缩处理。结合InSAR数据特点和后处理需求,提出了基于重要点提取的矢量压缩法,该方法原理简单,压缩效率高。顾及到InSAR成果含有各种误差,影响成果的可靠性和压缩效率,提出了将抗差滤波和重要点提取相结合进行InSAR监测成果的数据压缩。实例验证抗差滤波具有较好的抗差能力,提取的等值线光滑可靠;相比于重要点提取的直接压缩算法,基于抗差滤波的压缩算法具有更高的压缩比,能够更好地反映特征信息。
It is necessary to compress InSAR monitoring results because redundant information will affect the efficiency of deformation mechanism inversion. Combining the characteristics of the InSAR datum and necessary post-processing, an algorithm based on important points extraction is proposed in this paper. This proposed algorithm is simple but has high compression efficiency. Considering that is contains a variety of errors which affect the reliability of results and the efficiency of compression, a robust filtering modification is adopted. Then, the data compress method combining robust filtering and important points extracting is proposed. A practical example shows that the proposed combined method is effective for improving the compression ratio.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2014年第1期80-84,共5页
Geomatics and Information Science of Wuhan University
基金
国家自然科学基金资助项目(41274004
41072266
41274005)
国土资源部资助项目(1212011220142
1212011220186)
地震行业科研专项经费资助项目(201208009)~~
