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[期刊论文] 作者：Liangpei Zhang,Fulin Luo,
来源：地球空间信息科学学报（英文版） 年份：2020
Graph learning is an effective manner to analyze the intrinsic properties of data.It has been widely used in the fields of dimensionality reduction and classifi...
[期刊论文] 作者：Liangpei ZHANG,Yun ZHANG,Zhenz,
来源：测绘学报(英文版) 年份：2019
This paper deals with the massive point cloud segmentation processing technology on the basis of machine vision, which is the second essential factor for the in...
[期刊论文] 作者：Yuncheng Lu,Zhucun Xue,Gui-Song Xia,Liangpei Zhang,
来源：黑龙江科技信息 年份：2018
本文通过对荣华二采区10...
[期刊论文] 作者：Yanfei Zhong,Xinyu Wang,Shaoyu Wang,Liangpei Zhang,
来源：地球空间信息科学学报（英文版） 年份：2021
With the maturation of satellite technology,Hyperspectral Remote Sensing(HRS)platforms have developed from the initial ground-based and airborne platforms into...
Spatiotemporal estimation of hourly 2-km ground-level ozone over China based on Himawari-8 using a s
[期刊论文] 作者：Yuan Wang,Qiangqiang Yuan,Liye Zhu,Liangpei Zhang,
来源：地学前缘（英文版） 年份：2022
Ground-level ozone (O3) is a primary air pollutant,which can greatly harm human health and ecosys-tems.At present,data fusion frameworks only provided ground-level O3 concentrations at coarse spatial(e.g.,10 km) or temporal (e.g.,daily) res......
[期刊论文] 作者：Liangpei ZHANG,Yun ZHANG,Zhenzhong CHEN,Peipei XIAO,Bin LUO,,
来源：Journal of Geodesy and Geoinformation Science 年份：2019
This paper deals with the massive point cloud segmentation processing technology on the basis of machine vision,which is the second essential factor for the intelligent data processing of three dimens...
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