Abstract
High information richness of satellite images is used effectively, only if they are processed promptly. Analysis of recent research shows that existing hardware and software allows only partial automation of object recognition in space photographs. Automation is reduced to visualization of images and measurement of their parameters. Further processing requires parameters of probability density function of object features recognition. To solve certain problems in geological, hydrological, forestry and other types of decryption, parameters of this distribution are estimated according to experimental data. However, this approach is not suitable for recognition of single compact surface objects. Therefore, reference images formed upon three-dimensional models are suggested to determine unknown parameters of probability distribution function. Method of allowable transformations is applied to determine initial conditions of reference images and take their recognition feature distributive law for a distributive law of recognition features of single compact surface objects.
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Korobiichuk, I., Osadchuk, R., Fedorchuk, D., Nowak, P. (2017). Approach to Determination of Parameters of Probability Density Function of Object Attributes Recognition in Space Photographs Is Considered Within Statistical Method. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Automation 2017. ICA 2017. Advances in Intelligent Systems and Computing, vol 550. Springer, Cham. https://doi.org/10.1007/978-3-319-54042-9_40
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DOI: https://doi.org/10.1007/978-3-319-54042-9_40
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