Clouds and Cloud Shadows Removal from Infrared Satellite Images in Remote Sensing System
Using remote sensing technique to detect tsunamis has aroused a great deal of researchers' interests.It resolves the fatal disadvantage that current DART system has and improves the precise rate of tsunami detection greatly.However, since the system is based on the analysis of infrared satellite images, the detection would fail if the spot is covered with clouds or cloud shadows due to the fact that clouds and cloud shadows would distort the real signal received by satellite sensor.Hence removing clouds and cloud shadows from these infrared satellite images has become critical.Using the technique proposed by Meng et al.[1], this paper designs an algorithm to remove clouds and cloud shadows from satellite images for our remote sensing tsunami detection system.Future work is discussed.
Authors
- Weiwei Zhu (ORCID: https://orcid.org/0000-0003-3900-7747)
- Salamahn Mill
- Dafe Ukaivbe
Institutions
- University of Maryland Eastern Shore (US)
Publication Details
- Published
- 2025-04-02
- DOI
- https://doi.org/10.18260/1-2-1153-54055
- Citations
- 1
- Primary Topic
- Remote Sensing in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00