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.
| Original language | English |
|---|---|
| Title of host publication | IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 8246-8248 |
| Number of pages | 3 |
| ISBN (Electronic) | 9798350320107 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 - Pasadena, United States Duration: 16 Jul 2023 → 21 Jul 2023 |
Publication series
| Name | International Geoscience and Remote Sensing Symposium (IGARSS) |
|---|---|
| Volume | 2023-July |
Conference
| Conference | 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 |
|---|---|
| Country/Territory | United States |
| City | Pasadena |
| Period | 16/07/23 → 21/07/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Atmospheric effects
- Ground deformation
- Ground-based interferometric radar
- ICA
ASJC Scopus subject areas
- Computer Science Applications
- General Earth and Planetary Sciences
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