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Frequently updating DEMs based on multi-track repeat-pass InSAR observations using robust variance component estimation

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成果类型:
期刊论文
作者:
Zhanpeng Cao;Zefa Yang*;Cui Zhou;Zhiwei Li
通讯作者:
Zefa Yang
作者机构:
[Zhanpeng Cao; Zefa Yang; Zhiwei Li] School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
[Cui Zhou] School of Advanced Interdisciplinary Studies, Central South University of Forestry and Technology, Changsha 410004, China
通讯机构:
[Zefa Yang] S
School of Geosciences and Info-Physics, Central South University, Changsha 410083, China
语种:
英文
关键词:
DEM update;Variance component estimation;Repeat-pass InSAR;Robust estimation
期刊:
International Journal of Applied Earth Observation and Geoinformation
ISSN:
1569-8432
年:
2025
卷:
143
页码:
104821
机构署名:
本校为其他机构
摘要:
Space-borne interferometric synthetic aperture radar (InSAR) is a useful technique to generate or update digital elevation models (DEMs) over large regions. Specifical InSAR missions for DEM generation/update currently work in bistatic mode. The bistatic InSAR satellites have a low temporal coverage, causing the difficulty to keep DEM products up to date. InSAR satellites working in a repeat-pass mode can offer numerous data sources with a short temporal coverage, offering a great potential to frequently update DEMs to keep DEM valid with time. However, the accuracy of repeat-pass InSAR DEMs u...

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