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期刊名称

peerj computer science(1)

关键词

hyperspectral compressive sensing; tensor; plant leaves; hyperspectral images; regions of interest(1)

作者

Li, Zhuo AND Xu, Ping AND Jia, Yuewei AND Chen, Ke-nan AND Xue, Lingyun AND Luo, Bin(0)

机构

beijing acad agr & forestry sci, intelligent equipment res ctr, beijing, peoples r china(1)
hangzhou dianzi univ, coll automat, hangzhou, zhejiang, peoples r china(1)

年份

2024(1)

科研产出

条件:

资源类型: 外文期刊

作者:Li, Zhuo(精确检索)

作者:Xu, Ping(精确检索)

作者:Jia, Yuewei(精确检索)

作者:Chen, Ke-nan(精确检索)

作者:Xue, Lingyun(精确检索)

作者:Luo, Bin(精确检索)

排序方式：

1A novel recursive sub-tensor hyperspectral compressive sensing of plant leaves based on multiple arbitrary-shape regions of interest

作者： Li, Zhuo; Xu, Ping; Jia, Yuewei; Chen, Ke-nan; Xue, Lingyun; Luo, Bin; SCI

机构： Hangzhou Dianzi Univ, Coll Automat, Hangzhou, Zhejiang, Peoples R China; Beijing Acad Agr & Forestry Sci, Intelligent Equipment Res Ctr, Beijing, Peoples R China;

来源：PEERJ COMPUTER SCIENCE

关键词： Hyperspectral compressive sensing; Tensor; Plant leaves; Hyperspectral images; Regions of interest

年份：2024