Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shaoquan Feng"'
Publikováno v:
Satellite Navigation, Vol 2, Iss 1, Pp 1-17 (2021)
Abstract Accurate positioning and navigation play a vital role in vehicle-related applications, such as autonomous driving and precision agriculture. With the rapid development of Global Navigation Satellite Systems (GNSS), Precise Point Positioning
Externí odkaz:
https://doaj.org/article/03c88c7474db48cc94db816214f68157
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5088-5101 (2020)
The interpretation of deep learning network is an important part in understanding the convolutional neural networks (CNNs). As an exploratory research, this article explored the interpretation method in 3-D point cloud deep learning networks, for the
Externí odkaz:
https://doaj.org/article/a88332c999d44f80be9d69ff0b1485f0
Publikováno v:
Satellite Navigation, Vol 2, Iss 1, Pp 1-17 (2021)
Accurate positioning and navigation play a vital role in vehicle-related applications, such as autonomous driving and precision agriculture. With the rapid development of Global Navigation Satellite Systems (GNSS), Precise Point Positioning (PPP) tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf5a3442ebb96963d067571cbd7c3d86
https://doaj.org/article/03c88c7474db48cc94db816214f68157
https://doaj.org/article/03c88c7474db48cc94db816214f68157
Publikováno v:
Survey Review. 53:454-463
If both the coefficient matrix and the observation vector are affected by noise, a total least-squares algorithm should be applied to obtain the solution. However, if they are also contaminated by ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaefc8da9aa94a47936646aa6da5ae9c
https://doi.org/10.1080/00396265.2020.1831829
https://doi.org/10.1080/00396265.2020.1831829
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 5088-5101 (2020)
The interpretation of deep learning network is an important part in understanding the convolutional neural networks (CNNs). As an exploratory research, this article explored the interpretation method in 3-D point cloud deep learning networks, for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7ab8fc4b57f452368b1786251434081
https://doi.org/10.1109/jstars.2020.3020321
https://doi.org/10.1109/jstars.2020.3020321
Publikováno v:
Boletim de Ciências Geodésicas v.26 n.4 2020
Boletim de Ciências Geodésicas
Universidade Federal do Paraná (UFPR)
instacron:UFPR
Boletim de Ciências Geodésicas, Volume: 26, Issue: 4, Article number: e2020021, Published: 30 NOV 2020
Boletim de Ciências Geodésicas
Universidade Federal do Paraná (UFPR)
instacron:UFPR
Boletim de Ciências Geodésicas, Volume: 26, Issue: 4, Article number: e2020021, Published: 30 NOV 2020
3D similarity transformation is frequently encountered operation in the field of geodetic data processing, and there are many applications that involve large rotation angles. In previous studies, the errors of the coefficient matrix were usually negl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::839daba7d94a8a708f8277955fd7cc90
https://doi.org/10.1590/s1982-21702020000400021
https://doi.org/10.1590/s1982-21702020000400021