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System of object recognition in photogrammetric images

N.Y. Ilyasova, V.M. Kostin*, V.V. Kotlyar, A.V. Kupriyanov, A.V. Roshchin, A.V. Ustinov

Image Processing Systems Institute of RAS, Samara

*Scientific Research Institute of Experimental Physics, Sarov

 PDF, 768 kB

Pages: 185-192

Full text of article: Russian language.

Abstract:
The article presents an automated system for processing digital raster images of photogrammetric survey entered into a computer by scanning. The system is designed for digital processing of photogrammetric information in scientific and technical experiments to study the behavior of local objects in a two-dimensional environment. The article describes methods for determining geometric parameters and analyzing the spatial position of objects and algorithms for obtaining precision photogrammetric data corresponding to the real measuring properties of processed images.

Citation:
Ilyasova NY, Kostin VM, Kotlyar VV, Kupriyanov AV, Roshchin AV, Ustinov AV. System of object recognition in photogrammetric images. Computer Optics 2001; 21: 185 - 192.

References:

  1. Maas H, Gruen A. Digital photogrammetric techniques for high-resolution three-dimensional flow velocity measurements. Opt Eng 1995; 34(7): 1970-1976.
  2. ] Volkova SE, Ilyasova NY, Karpeev SV, Uvarov GV, Ustinov AV, Khramov AG. Optical-digital system for the analysis of blood products [In Russian]. Scientific Instrumentation 1993; 3(1): 134-146.
  3. Shvedov AM, Schmidt AA. On the complete set of invariants for a particular class of pattern recognition problems. Vladivostok: Far Eastern Science Center of the USSR Academy of Sciences; 1976.
  4. Glumov NI. Development and application of moment invariants for image processing in a sliding window. Computer Optics 1995; 14-15(1): 46-54.

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