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

Fingerprint

Remote sensing
Technology
Monitoring
Ecology
Uncertainty
Pollution
Processing
Recognition (Psychology)
Forests

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

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

The neuronet technology for aerospace monitoring data interpretation. / Markov, N. G.; Napryushkin, A. A.; Badmaev, D. G.

5th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2001. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2001. p. 88-91 975064.

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

Markov, NG, Napryushkin, AA & Badmaev, DG 2001, The neuronet technology for aerospace monitoring data interpretation. in 5th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2001. vol. 1, 975064, Institute of Electrical and Electronics Engineers Inc., pp. 88-91, 5th Korea-Russia International Symposium on Science and Technology, KORUS 2001, Tomsk, Russian Federation, 26.6.01. https://doi.org/10.1109/KORUS.2001.975064
Markov NG, Napryushkin AA, Badmaev DG. The neuronet technology for aerospace monitoring data interpretation. In 5th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2001. Vol. 1. Institute of Electrical and Electronics Engineers Inc. 2001. p. 88-91. 975064 https://doi.org/10.1109/KORUS.2001.975064
Markov, N. G. ; Napryushkin, A. A. ; Badmaev, D. G. / The neuronet technology for aerospace monitoring data interpretation. 5th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2001. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2001. pp. 88-91
@inproceedings{0b472e8fcf964e088bd0e97418f27b7c,
title = "The neuronet technology for aerospace monitoring data interpretation",
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.",
keywords = "neuronet algorithms, remote sensing data interpretation",
author = "Markov, {N. G.} and Napryushkin, {A. A.} and Badmaev, {D. G.}",
year = "2001",
doi = "10.1109/KORUS.2001.975064",
language = "English",
isbn = "0780370082",
volume = "1",
pages = "88--91",
booktitle = "5th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2001",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - The neuronet technology for aerospace monitoring data interpretation

AU - Markov, N. G.

AU - Napryushkin, A. A.

AU - Badmaev, D. G.

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

KW - neuronet algorithms

KW - remote sensing data interpretation

UR - http://www.scopus.com/inward/record.url?scp=84961857269&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84961857269&partnerID=8YFLogxK

U2 - 10.1109/KORUS.2001.975064

DO - 10.1109/KORUS.2001.975064

M3 - Conference contribution

AN - SCOPUS:84961857269

SN - 0780370082

SN - 9780780370081

VL - 1

SP - 88

EP - 91

BT - 5th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2001

PB - Institute of Electrical and Electronics Engineers Inc.

ER -