Automated synthesis of landscape surface model based on satellite images
DOI:
https://doi.org/10.15587/1729-4061.2014.30423Keywords:
height field, landscape texturing, training complexes, imaging system, cluster analysisAbstract
A method for automated construction of a realistic model of the landscape surface using satellite images and height fields as source data is proposed in the paper. A practical example of the landscape model synthesis is considered, performance characteristics of the method are evaluated.
Solving the problem of synthesis and imaging of realistic landscape surface in training complexes is integrated and computationally challenging because of the high level of detail of existing landscapes and the need to model their extended regions.
The method allows to obtain various types of landscapes in all climatic conditions and provides a basis for developing the vegetative cover synthesis methods. Feature of this method is minimization of the number of textures, used for the model imaging and correspondence of visual and physical landscape models.
Automation allows to significantly reduce the amount of manual work, as well as improve the quality of the synthesized landscape model. Computational resources, required for the landscape surface synthesis are minimized, which allows to use cheaper hardware for the imaging system construction and leads to lower price of training complex.
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Copyright (c) 2014 Петр Алексеевич Качанов, Андрей Александрович Зуев
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