@inproceedings{87dc65e029274a1292294b53e907014b,
title = "Removal of Atmospheric Effects on Ground Based Radar Interferometry by Using ICA: A Case Study in Shenzhen, China",
abstract = "Ground-based interferometric radar (GBIR) is an innovative tool for monitoring land surface subsidence and urban infrastructure deformation caused by rapid urbanization. However, the interferograms of GBIR are often contaminated by severe atmospheric effects, especially in coastal areas. In this study, we use independent component analysis (ICA) to extract atmospheric effects for the interferograms of GBIR. Analysis of the performance of ICA and traditional surface fitting methods have been carried out. The results suggest that the average improved rate of ICA is 93.05%, which is 69.33% higher than that of surface fitting.",
keywords = "Atmospheric effects, Ground deformation, Ground-based interferometric radar, ICA",
author = "Yuhao Liu and Bochen Zhang and Mi Jiang and Xiao Cheng and Jiasong Zhu and Qingquan Li and Songbo Wu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 ; Conference date: 16-07-2023 Through 21-07-2023",
year = "2023",
doi = "10.1109/IGARSS52108.2023.10281751",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "8246--8248",
booktitle = "IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings",
}