Tree state category identification for boreal area conifers using global features estimation by fuzzy logic approach

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Information Technology and Nanotechnology 2019: Image Processing and Earth Remote Sensing; Samara; Samara

Год издания: 2019

Аннотация: Tree state category identification allows forecasting forest development in the surveyed area. Tree state category determination process based on global features is subjective and uses concepts such as the degree of density of the crown, the degree of dry

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Издание

Журнал: CEUR Workshop Proceedings

Выпуск журнала: Vol. 2391

Номера страниц: 211-215

ISSN журнала: 16130073

Издатель: CEUR-WS

Авторы

  • Pyataev A.S. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av., 31, Krasnoyarsk, 660037, Russian Federation, Brunch of FBI, Russian Centre of Forest Health, Centre of Forest Health of Krasnoyarsk Krai, Akademgorodok)
  • Redkin A.Y. (Brunch of FBI, Russian Centre of Forest Health, Centre of Forest Health of Krasnoyarsk Krai, Akademgorodok, 50A, building 2, Krasnoyarsk, 660036, Russian Federation)
  • Pyataeva A.V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsky Rabochy Av., 31, Krasnoyarsk, 660037, Russian Federation, Siberian Federal University, Svobodny pr., 79, Krasnoyarsk, 660041, Russian Federation)

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