引用本文: 张菊清, 张静, 郭新愿. 抗差滤波和重要点提取相结合的压缩算法及应用[J]. 武汉大学学报 ( 信息科学版), 2014, 39(1): 80-84.
ZHANG Juqing, ZHANG Jing, GUO Xinyuan. Application of Compression Algorithm Combined with RobustFiltering and Important Points Extracting[J]. Geomatics and Information Science of Wuhan University, 2014, 39(1): 80-84.
 Citation: ZHANG Juqing, ZHANG Jing, GUO Xinyuan. Application of Compression Algorithm Combined with RobustFiltering and Important Points Extracting[J]. Geomatics and Information Science of Wuhan University, 2014, 39(1): 80-84.

## Application of Compression Algorithm Combined with RobustFiltering and Important Points Extracting

• 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。

Abstract: It is necessary to compress InSAR monitoring results because redundant information will af-fect the efficiency of deformation mechanism inversion.Combining the characteristics of the InSARdatum and necessary post-processing,an algorithm based on important points extraction is proposed inthis paper.This proposed algorithm is simple but has high compression efficiency.Considering that iscontains a variety of errors which affect the reliability of results and the efficiency of compression,arobust filtering modification is adopted.Then,the data compress method combining robust filteringand important points extracting is proposed.A practical example shows that the proposed combinedmethod is effective for improving the compression ratio.

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