Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Remote Sensing, ITNT-IPERS 2020
Год издания: 2020
Ключевые слова: classification, forest health, image processinggenius, texture analysis
Аннотация: Competent assessment of the plantation sanitary condition allows you to plan various forest health protection measures. Automation of the tree state category assessment process could be implemented by fuzzy logic. The key role in this process plays such characteristic as the crown density degree. The paper proposes an algorithm forПоказать полностьюautomatic estimating of the crown density degree using local binary patterns. Histograms of crown fragments of various densities are built on the basis of uniform patterns; the Kullback-Leibler distance is used as a measure of the difference between the two histograms. Experimental studies conducted on 1636 images of crown fragments confirm the effectiveness of applying local binary patterns to the task of the crown density degree estimation. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
Журнал: CEUR Workshop Proceedings
Выпуск журнала: Vol. 2665
Номера страниц: 41-43
ISSN журнала: 16130073