The neuronet technology for aerospace monitoring data interpretation

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

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Аннотация

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.

Язык оригиналаАнглийский
Название основной публикации5th Korea-Russia International Symposium on Science and Technology - Proceedings: KORUS 2001
ИздательInstitute of Electrical and Electronics Engineers Inc.
Страницы88-91
Число страниц4
Том1
ISBN (печатное издание)0780370082, 9780780370081
DOI
СостояниеОпубликовано - 2001
Событие5th Korea-Russia International Symposium on Science and Technology, KORUS 2001 - Tomsk, Российская Федерация
Продолжительность: 26 июн 20013 июл 2001

Другое

Другое5th Korea-Russia International Symposium on Science and Technology, KORUS 2001
СтранаРоссийская Федерация
ГородTomsk
Период26.6.013.7.01

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

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  • Цитировать

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