Zobrazeno 1 - 10
of 25
pro vyhledávání: '"aerial point cloud"'
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4504 (2024)
The semantic segmentation of laser point clouds is critical for many applications of aerial point clouds. However, most of the existing deep learning networks do not make full use of point cloud data information. PointNet++ was chosen as the baseline
Externí odkaz:
https://doaj.org/article/1868c88111c44787842649fd8562d86f
Akademický článek
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Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 10, Pp 1115-1134 (2020)
The automatic definition of the ground from 3D point clouds has been a common process for the last two decades, with many different approaches and applications that can be found in a vast literature. This paper presents a comparison of three differen
Externí odkaz:
https://doaj.org/article/b81c8f0f895a4c9c8889be7c65e1f733
Akademický článek
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Publikováno v:
European Journal of Remote Sensing, Vol 51, Iss 1, Pp 436-456 (2018)
Point cloud registration has been a major research challenge in recent years. In this paper, a novel hierarchical method is proposed for registering Aerial and Terrestrial image-based Point Clouds (APC & TPC). This registration aims to yield a comple
Externí odkaz:
https://doaj.org/article/9c74f3ef759c4fa1b2656cef5e64628a
Publikováno v:
Remote Sensing, Vol 13, Iss 10, p 1985 (2021)
With recent advances in technologies, deep learning is being applied more and more to different tasks. In particular, point cloud processing and classification have been studied for a while now, with various methods developed. Some of the available c
Externí odkaz:
https://doaj.org/article/dc73e34a636446b0b38050082b40930f
Publikováno v:
Remote Sensing
Volume 13
Issue 10
Pages: 1985
Remote Sensing, Vol 13, Iss 1985, p 1985 (2021)
Volume 13
Issue 10
Pages: 1985
Remote Sensing, Vol 13, Iss 1985, p 1985 (2021)
With recent advances in technologies, deep learning is being applied more and more to different tasks. In particular, point cloud processing and classification have been studied for a while now, with various methods developed. Some of the available c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3acbf21e40b2f673af8bdcac1208427b
Publikováno v:
European Journal of Remote Sensing, Vol 51, Iss 1, Pp 436-456 (2018)
Point cloud registration has been a major research challenge in recent years. In this paper, a novel hierarchical method is proposed for registering Aerial and Terrestrial image-based Point Clouds (APC & TPC). This registration aims to yield a comple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4fb06391187dac17582863b0a202fef
https://doi.org/10.1080/22797254.2018.1444946
https://doi.org/10.1080/22797254.2018.1444946
Publikováno v:
Remote Sensing; Volume 11; Issue 24; Pages: 2961
3D semantic segmentation of point cloud aims at assigning semantic labels to each point by utilizing and respecting the 3D representation of the data. Detailed 3D semantic segmentation of urban areas can assist policymakers, insurance companies, gove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8411adc4181d7039ba26b9a831670883
Akademický článek
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