全球智库信息集成服务系统(G2TT): Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in Kalimantan.

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来源类型	Book Section
DOI	10.1007/978-3-030-05348-2_35
	Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in Kalimantan.
	Khachay M; Pasynkov M; Battiti, R.; Brunato, M.; Kotsireas, I.; Pardalos, P.
发表日期	2019
出处	Learning and Intelligent Optimization. Eds. Battiti, R. , Brunato, M. , Kotsireas, I. & Pardalos, P. , pp. 427-432 Cham, Switzerland: Springer. ISBN 978-3-030-05347-5 DOI: 10.1007/978-3-030-05348-2_35 .
出版年	2019
语种	英语
摘要	This research is motivated by the global warming problem, which is likely influenced by human activity. Fast-growing oil palm plantations in the tropical belt of Africa, Southeast Asia and parts of Brazil lead to significant loss of rainforest and contribute to the global warming by the corresponding decrease of carbon dioxide absorption. We propose a novel approach to monitoring of the development of such plantations based on an application of state-of-the-art Fully Convolutional Neural Networks (FCNs) to solve Semantic Segmentation Problem for Landsat imagery.
主题	Advanced Systems Analysis (ASA)
关键词	Remote sensing Mapping Landsat Fully convolutional neural network
URL	http://pure.iiasa.ac.at/id/eprint/15655/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/134677
推荐引用方式 GB/T 7714	Khachay M,Pasynkov M,Battiti, R.,et al. Fully Convolutional Neural Networks for Mapping Oil Palm Plantations in Kalimantan.. 2019.