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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 7, 2023.
Abstract: A method for image quality evaluation of satellite-based Synthetic Aperture Radar: SAR data is proposed. Not only geometric fidelity but also signal to noise ratio, frequency component, saturated pixel ratio, speckle noise, optimum filter kernel size and its filter function are evaluated. Through experiments with SAR so called QPS-SAR_2 (Q-shu Pioneers of Space SAR the second) of imagery data, all these items are evaluated, and it is confirmed that the geometric and radiometric performances are good enough. Also, geometric fidelity of QPS-SAR_2 is compared to Sentinel-1/SAR European Space Agency (ESA) provided data which is obtained on the same day of QPS-SAR_2 data acquisition.
Kohei Arai, Michihiro Mikamo and Shunsuke Onishi, “Method for Image Quality Evaluation of Satellite-based SAR Data” International Journal of Advanced Computer Science and Applications(IJACSA), 14(7), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140713
@article{Arai2023,
title = {Method for Image Quality Evaluation of Satellite-based SAR Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140713},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140713},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {7},
author = {Kohei Arai and Michihiro Mikamo and Shunsuke Onishi}
}
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.