Improving altitudinal accuracy of Sentinel-1 InSAR DEM in arid flat terrain: a machine learning approach with UAV photogrammetry and multi-source data
- DOI
- 10.1080/10095020.2025.2600903
- Published
- 2026-01-05
- Container
- Geo-spatial Information Science
- Publisher
- Informa UK Limited
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1080/10095020.2025.2600903,
title = {Improving altitudinal accuracy of Sentinel-1 InSAR DEM in arid flat terrain: a machine learning approach with UAV photogrammetry and multi-source data},
author = {Yanrong Chen and Zhiwen Shi and Anwar Eziz and Siyue Zheng and Osman Ilniyaz and Hossein Azadi and Tim Van de Voorde and Alishir Kurban},
year = {2026},
journal = {Geo-spatial Information Science},
doi = {10.1080/10095020.2025.2600903},
url = {https://doi.org/10.1080/10095020.2025.2600903}
}RIS
TY - JOUR TI - Improving altitudinal accuracy of Sentinel-1 InSAR DEM in arid flat terrain: a machine learning approach with UAV photogrammetry and multi-source data AU - Yanrong Chen AU - Zhiwen Shi AU - Anwar Eziz AU - Siyue Zheng AU - Osman Ilniyaz AU - Hossein Azadi AU - Tim Van de Voorde AU - Alishir Kurban PY - 2026 JO - Geo-spatial Information Science DO - 10.1080/10095020.2025.2600903 UR - https://doi.org/10.1080/10095020.2025.2600903 ER -
APA
Chen, Y., Shi, Z., Eziz, A., Zheng, S., Ilniyaz, O., Azadi, H., Voorde, T. V. D., & Kurban, A. (2026). Improving altitudinal accuracy of Sentinel-1 InSAR DEM in arid flat terrain: a machine learning approach with UAV photogrammetry and multi-source data. Geo-spatial Information Science. https://doi.org/10.1080/10095020.2025.2600903
Source records
- crossref · retrieved 2026-11-10T12:29:07.403Z