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期刊名称

giscience & remote sensing(1)

关键词

pine wilt disease; unmanned aerial vehicles; optical imagery; classification algorithms(1)

作者

Zhang, Ning AND Chai, Xiujuan AND Zhang, Jianhua AND Sun, Tan AND Zhang, Ning AND Chai, Xiujuan AND Zhang, Jianhua AND Sun, Tan AND Li, Niwen AND Li, Niwen(0)

机构

beijing forestry univ, forestry coll, precis forestry key lab beijing, beijing, peoples r china(1)
chinese acad agr sci, agr informat inst, beijing, peoples r china(1)
minist agr & rural affairs, key lab agr big data, beijing, peoples r china(1)
swedish univ agr sci, dept forest resource management, umea, sweden(1)

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年份

2023(1)

科研产出

条件:

资源类型: 外文期刊

作者:Zhang, Ning(精确检索)

作者:Chai, Xiujuan(精确检索)

作者:Zhang, Jianhua(精确检索)

作者:Sun, Tan(精确检索)

作者:Zhang, Ning(精确检索)

作者:Chai, Xiujuan(精确检索)

作者:Zhang, Jianhua(精确检索)

作者:Sun, Tan(精确检索)

作者:Li, Niwen(精确检索)

排序方式：

1Applicability of UAV-based optical imagery and classification algorithms for detecting pine wilt disease at different infection stages

作者： Zhang, Ning; Chai, Xiujuan; Zhang, Jianhua; Sun, Tan; Zhang, Ning; Chai, Xiujuan; Zhang, Jianhua; Sun, Tan; Li, Niwen; Li, Niwen; SCI

机构： Chinese Acad Agr Sci, Agr Informat Inst, Beijing, Peoples R China; Minist Agr & Rural Affairs, Key Lab Agr Big Data, Beijing, Peoples R China; Beijing Forestry Univ, Forestry Coll, Precis Forestry Key Lab Beijing, Beijing, Peoples R China; Swedish Univ Agr Sci, Dept Forest Resource Management, Umea, Sweden;

来源：GISCIENCE & REMOTE SENSING

关键词： Pine wilt disease; unmanned aerial vehicles; optical imagery; classification algorithms

年份：2023