Abstract
This paper presents a solution of remote sensing data verification problem. Remote sensing data includes digital image data and metadata, which contains parameters of satellite image shooting process (Sun and satellite azimuth and elevation angles, shooting time, etc.). The solution is based on the analysis of special numerical characteristics, which directly depend on the shooting parameters: sun position, satellite position and orientation. We propose two fully automatic algorithms for remote sensing data analysis and decision-making based on data compatibility: the first one uses vector data of the shooting territory, the second doesn’t.
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Acknowledgements
This work was supported by the Russian Science Foundation grant №14-31-00014 «Establishment of a Laboratory of Advanced Technology for Earth Remote Sensing».
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Kuznetsov, A., Myasnikov, V. (2015). Remote Sensing Data Verification Using Model-Oriented Descriptors. In: Khachay, M., Konstantinova, N., Panchenko, A., Ignatov, D., Labunets, V. (eds) Analysis of Images, Social Networks and Texts. AIST 2015. Communications in Computer and Information Science, vol 542. Springer, Cham. https://doi.org/10.1007/978-3-319-26123-2_9
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DOI: https://doi.org/10.1007/978-3-319-26123-2_9
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