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UTILISING SIMULATED TREE DATA TO TRAIN SUPERVISED CLASSIFIERS

The aim of our research was to examine whether simulated forest data can be utilized for training supervised classifiers. We included two classifiers namely the random forest classifier and the novel convolutional neural network classifier that utilizes feature images. We simulated tree parameters a...

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Bibliografische gegevens
Hoofdauteurs: P. Rönnholm, S. Wittke, M. Ingman, P. Putkiranta, H. Kauhanen, H. Kaartinen, M. T. Vaaja
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Copernicus Publications 2022-05-01
Reeks:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online toegang:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2022/633/2022/isprs-archives-XLIII-B2-2022-633-2022.pdf
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