The neuronet technology for aerospace monitoring data interpretation

N. G. Markov, A. A. Napryushkin, D. G. Badmaev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For solving many practically important problems of ecology and landscape studying the information obtained by remote sensing (RS) methods plays an increasing role. Nowadays the development of high-automated methods and means of processing and interpretation of RS data is an extremely urgent problem. In the situations of training information lack and considerable uncertainty the most efficient approach for solving problems of RS data interpretation is application of neuronet algorithms of recognition of objects on images without training. The authors propose a neuronet technology for interpretation of aerospace monitoring data with the use of Kohonen's algorithm, based on a concept of dynamic kernels. The description of the proposed neuronet technology is given, particularities of its implementation are considered, and first results of application of the technology for solving problems of forest type mapping and assessing the pollution of reservoirs in the Tomsk region are shown.

Original languageEnglish
Title of host publication5th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages88-91
Number of pages4
Volume1
ISBN (Print)0780370082, 9780780370081
DOIs
Publication statusPublished - 2001
Event5th Korea-Russia International Symposium on Science and Technology, KORUS 2001 - Tomsk, Russian Federation
Duration: 26 Jun 20013 Jul 2001

Other

Other5th Korea-Russia International Symposium on Science and Technology, KORUS 2001
CountryRussian Federation
CityTomsk
Period26.6.013.7.01

Keywords

  • neuronet algorithms
  • remote sensing data interpretation

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Computer Networks and Communications
  • Biotechnology
  • Civil and Structural Engineering
  • Mechanics of Materials
  • Electronic, Optical and Magnetic Materials
  • Materials Chemistry
  • Surfaces, Coatings and Films

Fingerprint Dive into the research topics of 'The neuronet technology for aerospace monitoring data interpretation'. Together they form a unique fingerprint.

  • Cite this

    Markov, N. G., Napryushkin, A. A., & Badmaev, D. G. (2001). The neuronet technology for aerospace monitoring data interpretation. In 5th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2001 (Vol. 1, pp. 88-91). [975064] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KORUS.2001.975064