| Autor: |
Bailin Hu, Lei Chen, Youfeng Zou, Xuexiao Wu, Prosper Washaya |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
IEEE Access, Vol 9, Pp 159018-159035 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2021.3126787 |
| Popis: |
Ground subsidence caused by coal mining may lead to serious damage to ecological environment system and economic and social development. SAR image interferometry technology has been widely used for monitoring coal mining subsidence. However, at present monitoring fast and large subsidence using SAR images is still a huge challenge. In order to obtain fast and large gradient subsidence using SAR images, some scholars have resorted to other methods and technology, which do not just depend on the interferograms, and they have obtained better results. In summary, these methods and technology can be grouped into three main categories: (i) Combining InSAR with coal mining subsidence prediction models; (ii) Using SAR image amplitude information offset tracking technology; (iii) Combining InSAR with terrestrial 3D laser scanning technology. In this paper, the technology features, research progress, applications and limitations of these methods are analyzed; and some potential prospects of using SAR images to monitor fast and large subsidence in coal mining areas are discussed in the end. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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