Application of deep learning for coherent pixel selection in time series InSAR for urban area and transport infrastructure monitoring
The application of Time-series Interferometry of Synthetic Aperture Radar (TS-InSAR) for monitoring small and narrow infrastructural elements can be limited when using medium spatial resolution SAR sensors, such as Sentinel-1, due to sparse coverage of coherent pixels. Therefore, carefully selecting...
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| Main Authors: | S. Azadnejad, A. Kandiri, A. Hrysiewicz, F. O’Loughlin, E.P. Holohan, S. Dev, S. Donohue |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225003656 |
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