Bayesian Additive Regression Trees using Bayesian model averaging
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DOI: 10.1007/s11222-017-9767-1
Abstract: Bayesian Additive Regression Trees (BART) is a statistical sum of trees model. It can be considered a Bayesian version of machine learning tree ensemble methods where the individual trees are the base learners. However, for… read more here.
Keywords: regression trees; model; trees using; bart bma ... See more keywords
Deep Semantic Segmentation of Trees Using Multispectral Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3203145
Abstract: Forests can be efficiently monitored by automatic semantic segmentation of trees using satellite and/or aerial images. Still, several challenges can make the problem difficult, including the varying spectral signature of different trees, lack of sufficient… read more here.
Keywords: using multispectral; vegetation; segmentation trees; segmentation ... See more keywords
Growth Rate Prediction of Ornamental Trees using Regression Functions in Urban Landscapes
Sign Up to like & getrecommendations! Published in 2021 at "Chiang Mai University Journal of Natural Sciences"
DOI: 10.12982/cmujns.2021.080
Abstract: Abstract The present study aimed to predict the growth rate of the common urban trees using mathematical equations for the right plantation location in the landscape. Ginkgo biloba, Liquidambar styraciflua L., Parrotia persica, Zelkova carpinifolia,… read more here.
Keywords: regression functions; growth; trees using; growth rate ... See more keywords