Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Youjian Hu"'
Autor:
Zhenyang Hui, Shuanggen Jin, Penggen Cheng, Yao Yevenyo Ziggah, Leyang Wang, Yuqian Wang, Haiying Hu, Youjian Hu
Publikováno v:
IEEE Access, Vol 7, Pp 89366-89378 (2019)
Airborne Light Detection and Ranging (LiDAR) is a popular active remote sensing technology that has been developing very rapidly in recent years. To solve the problems of low filtering accuracy of airborne LiDAR point clouds in complex terrain enviro
Externí odkaz:
https://doaj.org/article/9d94989522c14046a2b6fe18884cd93f
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 68 (2019)
The third generation of China’s BeiDou Navigation Satellite System (BDS-3) began to provide global services on 27 December, 2018. Differential code bias (DCB) is one of the errors in precise BDS positioning and ionospheric modeling, but the impacts
Externí odkaz:
https://doaj.org/article/193d6251b1b44c2fb4672d89f3726509
Publikováno v:
Applied Sciences, Vol 9, Iss 1, p 203 (2019)
Most filtering algorithms suffer from complex parameter settings or threshold adjusting. To solve this problem, this paper proposes an improved skewness balancing filtering algorithm based on thin plate spline (TPS) interpolation. The proposed algori
Externí odkaz:
https://doaj.org/article/d9e62000c90549d384f02df9bb468c44
Publikováno v:
Remote Sensing, Vol 8, Iss 1, p 35 (2016)
Filtering is one of the core post-processing steps for airborne LiDAR point cloud. In recent years, the morphology-based filtering algorithms have proven to be a powerful and efficient tool for filtering airborne LiDAR point cloud. However, most trad
Externí odkaz:
https://doaj.org/article/90a0952fb6b64c77a52035e71c9cb2e0
Publikováno v:
2022 International Conference on Microwave and Millimeter Wave Technology (ICMMT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1466a3d8378d333ae36d42a9e5712975
https://doi.org/10.1109/icmmt55580.2022.10022964
https://doi.org/10.1109/icmmt55580.2022.10022964
Publikováno v:
Advances in Space Research. 67:1049-1057
As an important error source in Global Navigation Satellite System (GNSS) positioning and ionospheric modeling, the differential code biases (DCB) need to be estimated accurately, e.g., the regional Quasi-Zenith satellite system (QZSS). In this paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::518ad9bd39148ccadc54005ef64b38f3
https://doi.org/10.1016/j.asr.2020.10.049
https://doi.org/10.1016/j.asr.2020.10.049
Autor:
ZIGGAH, Yao Yevenyo1 zhuzhenjun@seu.edu.cn, Youjian HU2, ISSAKA, Yakubu1, LAARI, Prosper Basommi3
Publikováno v:
Geodesy & Cartography. 2019, Vol. 45 Issue 1, p16-27. 12p. 4 Charts, 4 Graphs, 2 Maps.
Publikováno v:
2021 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0d0ece583b1234c5fdd76592ca51eda
https://doi.org/10.1109/imws-amp53428.2021.9643979
https://doi.org/10.1109/imws-amp53428.2021.9643979
Publikováno v:
Acta Geodaetica et Geophysica. 54:213-224
In this paper, a new method of parameter estimation for multivariate errors-in-variables (MEIV) model was proposed. The formulae of parameter solution for the MEIV model were deduced based on the principle of maximum likelihood estimation, and two it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdb1e3e417fde0715daba47fe6c7ba15
https://doi.org/10.1007/s40328-019-00253-9
https://doi.org/10.1007/s40328-019-00253-9
Publikováno v:
Optics & Laser Technology. 112:43-55
Filtering of ground points is a key step for most applications of airborne LiDAR point clouds. Although many filtering algorithms have been proposed in recent years, most of them suffer from parameter setting or thresholds fine-tuning. This is most o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9029a96959259b159671024ab8582883
https://doi.org/10.1016/j.optlastec.2018.10.051
https://doi.org/10.1016/j.optlastec.2018.10.051