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.
CITATION STYLE
Kuznetsov, A., & Myasnikov, V. (2015). Remote sensing data verification using model-oriented descriptors. In Communications in Computer and Information Science (Vol. 542, pp. 96–101). Springer Verlag. https://doi.org/10.1007/978-3-319-26123-2_9
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