G2TT
来源类型Book Section
DOI10.1007/978-3-030-05348-2_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
URLhttp://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.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Khachay M]的文章
[Pasynkov M]的文章
[Battiti, R.]的文章
百度学术
百度学术中相似的文章
[Khachay M]的文章
[Pasynkov M]的文章
[Battiti, R.]的文章
必应学术
必应学术中相似的文章
[Khachay M]的文章
[Pasynkov M]的文章
[Battiti, R.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。