An Accurate Co-registration Method for Airborne Repeat-pass InSAR

2017 International Conference on Sustainable Development on Energy and Environment Protection

能源学;生态环境科学

Dong, X.T.^1,2 ; Zhao, Y.H.^1,3 ; Yue, X.J.^1,3 ; Han, C.M.^1,3

Microwave System Engineering Division, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing

100094, China^1

University of Chinese Academy of Sciences, Beijing

100049, China^2

Department of Airborne Remote Sensing, Sanya Institute of Remote Sensing, Sanya

572029, China^3

关键词: Deformation monitoring;    Ground resolution;    Interferometric coherence;    Interferometric synthetic aperture radars;    Low resolution images;    Range-Doppler imaging;    Surface deformation;    Topographic mapping;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/86/1/012008/pdf
DOI  :  10.1088/1755-1315/86/1/012008

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Interferometric Synthetic Aperture Radar (InSAR) technology plays a significant role in topographic mapping and surface deformation detection. Comparing with spaceborne repeat-pass InSAR, airborne repeat-pass InSAR solves the problems of long revisit time and low-resolution images. Due to the advantages of flexible, accurate, and fast obtaining abundant information, airborne repeat-pass InSAR is significant in deformation monitoring of shallow ground. In order to getting precise ground elevation information and interferometric coherence of deformation monitoring from master and slave images, accurate co-registration must be promised. Because of side looking, repeat observing path and long baseline, there are very different initial slant ranges and flight heights between repeat flight paths. The differences of initial slant ranges and flight height lead to the pixels, located identical coordinates on master and slave images, correspond to different size of ground resolution cells. The mismatching phenomenon performs very obvious on the long slant range parts of master image and slave image. In order to resolving the different sizes of pixels and getting accurate co-registration results, a new method is proposed based on Range-Doppler (RD) imaging model. VV-Polarization C-band airborne repeat-pass InSAR images were used in experiment. The experiment result shows that the proposed method leads to superior co-registration accuracy.