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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 6, 2022.
Abstract: Merged dataset creation method between Thermal Infrared (TIR) and Microwave Scanning Radiometer (MSR) onboard remote sensing satellites is proposed. One of the key issues here is the relation between thermal and microwave emissions from the same observation target in particular, Sea Surface Temperature (SST). An example of Tropical Rainfall Measuring Mission (TRMM) satellite based TIR and MSR, Visible Infrared Scanner (VIRS) and TRMM Microwave Imager (TMI) is shown in this paper. SST is estimated, independently, with VIRS or TMI. A method for interpolation of multi-sensor satellite images based on Multi-Resolution Analysis (MRA) is also proposed. The experimental results with TMI/SST image and VIRS/SST image show that Root Mean Square (RMS) error ranges from 0.87 to 0.91-degree C.
Kohei Arai, “Merged Dataset Creation Method Between Thermal Infrared and Microwave Radiometers Onboard Satellites” International Journal of Advanced Computer Science and Applications(IJACSA), 13(6), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130635
@article{Arai2022,
title = {Merged Dataset Creation Method Between Thermal Infrared and Microwave Radiometers Onboard Satellites},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130635},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130635},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {6},
author = {Kohei Arai}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.