期刊论文

Fu, Haiqiang

英文

Remote Sensing

2072-4292

2018

10

8

1310-

10.3390/rs10081310

Z.L.: Conceptualization; Data curation; Investigation; Methodology; Validation; Visualization; Writing-original draft. H.F.: Conceptualization; Supervision; Investigation; Validation; Writing—review and editing. J.Z.: Conceptualization; Funding acquisition; Investigation; Validation. C.Z.: Conceptualization; Investigation; Validation. T.Z.: Conceptualization; Investigation; Validation. This paper was supported by the Key Research and Development Project in Hunan Province of China under Grant 2016SK2029. In addition, this paper was also supported by the National Natural Science Foundation of China under Grant 41531068, Grant 41674009, and Grant 41604012.

本校为其他机构

Atmospheric effect represents one of the major error sources for interferometric synthetic aperture radar (InSAR), particularly for the repeat-pass InSAR data. In order to further improve the practicability of InSAR technology, it is essential to study how to estimate and eliminate the undesired impact of atmospheric effects. In this paper, we propose the multi-resolution weighted correlation analysis (MRWCA) method between the dual-polarization InSAR data to estimate and correct atmospheric effects for InSAR topographic mapping. The study is based on the a priori knowledge that atmospheric ef...