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Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms

Fuente: arXiv

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Bibliographic Details
Main Authors:	Taher, Josef, Hyyppä, Eric, Hyyppä, Matti, Salolahti, Klaara, Yu, Xiaowei, Matikainen, Leena, Kukko, Antero, Lehtomäki, Matti, Kaartinen, Harri, Thurachen, Sopitta, Litkey, Paula, Luoma, Ville, Holopainen, Markus, Kong, Gefei, Fan, Hongchao, Rönnholm, Petri, Vaaja, Matti, Polvivaara, Antti, Junttila, Samuli, Vastaranta, Mikko, Puliti, Stefano, Astrup, Rasmus, Kostensalo, Joel, Myllymäki, Mari, Kulicki, Maksymilian, Stereńczak, Krzysztof, Pires, Raul de Paula, Valbuena, Ruben, Carbonell-Rivera, Juan Pedro, Torralba, Jesús, Chen, Yi-Chen, Winiwarter, Lukas, Hollaus, Markus, Mandlburger, Gottfried, Takhtkeshha, Narges, Remondino, Fabio, Lisiewicz, Maciej, Kraszewski, Bartłomiej, Liang, Xinlian, Chen, Jianchang, Ahokas, Eero, Karila, Kirsi, Vezeteu, Eugeniu, Manninen, Petri, Näsi, Roope, Hyyti, Heikki, Pyykkönen, Siiri, Hu, Peilun, Hyyppä, Juha
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2504.14337