Abstract
The use of several visual data receivers at various distances away from research objects necessarily leads to nonuniformly scaled representation of the forms of these objects in the concrete receiver. This paper presents an original scalable relief model, based in its analytical representation in the form of solving the integrated equation of a special kind. The integral metric introduced for the relief function space allows estimating the proximity or coincidence of the analyzed objects, and, thereby, the bases their identification.
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P. A. Kim, “Mathematical Basis of Scalable Relief Model: Classification Approach,” in Proc. Intern. Scientific Congress “GEO-Siberia-2008” (Novosibirsk, 2008), Vol. 3, part 2, pp. 220–222.
P. A. Kim, “Polyarc as an Element of Profile Designing of Scalable Relief Model,” in Proc. Intern. Scientific Congress “GEO-Siberia-2007,” Vol. 3, “The Earth Remote Sensing and Photogrammetry, Environmental Monitoring, Geoecology,” (Novosibirsk, Apr. 25–27, 2007), pp. 188–192.
P. A. Kim, “On Geometric Solution of Integral Equation of Scalable Relief Model,” Proc. Intern. Scientific Congress “GEO-Siberia-2006,” vol. 3, “The Earth Remote Sensing and Photogrammetry, Environmental Monitoring, Geoecology,” (Siberian State Geodesic Academy, Novosibirsk, Apr. 24–28, 2006), part 1, pp. 212–217.
P. A. Kim, “One Approach to Visualize the Scalable Relief Model,” Proc. 16 Intern. Conf. on Computer Graphics and Its Applications Graphicon’2006 (IVMiMG SO RAN, Akademgorodok, Novosibirsk, July 1–5, 2006), pp. 355–359.
P. A. Kim, “Siberian Virtual Hardware-Software Complex SVPAK-2003: Remote Sensing Simulation,” in Proc. All-Russian Methodological Conf. “Simulation of Geographic Systems” (Irkutsk, Nov. 1–3, 2004), pp. 78–80.
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Pavel Alekseevich Kim was born in 1949. He graduated from Novosibirsk State University in 1971. He defended his candidate’s dissertation in 1989. Currently he is a senior research scientist at the Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences (Novosibirsk). In 2000 he achieved the rank of a senior research scientist; in 2005 he was given the academic rank of an associate professor. Currently he works as a senior research scientist at the Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences (Novosibirsk). His scientific interests include digital image processing, remote sensing, geoinformatics, and GIS and Web technologies. He is the author of more than 90 works.
Peter Alekseevich Kalantaev was born in 1949. He graduated from Novosibirsk State University in 1977. He defended his candidate’s dissertation in 1990. In 2000 he achieved the rank of a senior research scientist. Currently he works as a senior research scientist in the Image Processing Laboratory at the Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch, Russian Academy of Sciences (Novosibirsk). He is a corresponding member of the Petrov Academy of Sciences and Arts. His scientific interests include digital cartography, geoinformatics, and GIS and Web technologies. He is the author of more than 70 works.
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Kim, P.A., Kalantaev, P.A. Object identification in a scalable model of geoinformation processes at the regional level. Pattern Recognit. Image Anal. 19, 660–663 (2009). https://doi.org/10.1134/S1054661809040142
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DOI: https://doi.org/10.1134/S1054661809040142