用于城市土地利用/覆盖制图的机器学习：人工神经网络、随机森林和支持向量机的比较——以迪拉镇为例
Machine learning for urban land use/ cover mapping: Comparison of artificial neural network, random forest and support vector machine, a case study of Dilla town.
作者信息
Kasahun Melion, Legesse Abiyot
机构信息
Department of Geography and Environmental Studies, College of Social Science and Humanities, Dilla University, P.O. Box: 419, Dilla, Ethiopia.
Department of Geography and Environmental Studies, College of Social Science and Humanities, Borana University, P.O. Box: 85, Yabello, Ethiopia.
出版信息
Heliyon. 2024 Oct 12;10(20):e39146. doi: 10.1016/j.heliyon.2024.e39146. eCollection 2024 Oct 30.
Abstract
Support 74 Km 74 Km2 66 Km 65 Km .
摘要
支持74公里 74平方公里 66公里 65公里 。
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