Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Risto Kaijaluoto"'
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 3, Iss , Pp 100011- (2022)
Deep learning methods based on convolutional neural networks have shown to give excellent results in semantic segmentation of images, but the inherent irregularity of point cloud data complicates their usage in semantically segmenting 3D laser scanni
Externí odkaz:
https://doaj.org/article/8e834c0da6744f3683c2a0c56c95af94
Autor:
Harri Kaartinen, Juha Hyyppä, Mikko Vastaranta, Antero Kukko, Anttoni Jaakkola, Xiaowei Yu, Jiri Pyörälä, Xinlian Liang, Jingbin Liu, Yungshen Wang, Risto Kaijaluoto, Timo Melkas, Markus Holopainen, Hannu Hyyppä
Publikováno v:
Forests, Vol 6, Iss 9, Pp 3218-3236 (2015)
A harvester enables detailed roundwood data to be collected during harvesting operations by means of the measurement apparatus integrated into its felling head. These data can be used to improve the efficiency of wood procurement and also replace som
Externí odkaz:
https://doaj.org/article/792edf1235794fdb9c25509364ef26e3
Autor:
Yuwei Chen, Jian Tang, Changhui Jiang, Lingli Zhu, Matti Lehtomäki, Harri Kaartinen, Risto Kaijaluoto, Yiwu Wang, Juha Hyyppä, Hannu Hyyppä, Hui Zhou, Ling Pei, Ruizhi Chen
Publikováno v:
Sensors, Vol 18, Iss 10, p 3228 (2018)
The growing interest and the market for indoor Location Based Service (LBS) have been drivers for a huge demand for building data and reconstructing and updating of indoor maps in recent years. The traditional static surveying and mapping methods can
Externí odkaz:
https://doaj.org/article/6a56a0164afd4fb4b19b6be021304120
Autor:
Ville V. Lehtola, Harri Kaartinen, Andreas Nüchter, Risto Kaijaluoto, Antero Kukko, Paula Litkey, Eija Honkavaara, Tomi Rosnell, Matti T. Vaaja, Juho-Pekka Virtanen, Matti Kurkela, Aimad El Issaoui, Lingli Zhu, Anttoni Jaakkola, Juha Hyyppä
Publikováno v:
Remote Sensing, Vol 9, Iss 8, p 796 (2017)
Accurate three-dimensional (3D) data from indoor spaces are of high importance for various applications in construction, indoor navigation and real estate management. Mobile scanning techniques are offering an efficient way to produce point clouds, b
Externí odkaz:
https://doaj.org/article/5d19088c9ccd4a499a4e09c55b4fcdb6
Autor:
Yunsheng Wang, Juha Hyyppä, Eric Hyyppä, Juho-Pekka Virtanen, Joanne C. White, Risto Kaijaluoto, Xinlian Liang, Jiri Pyörälä, Michael A. Wulder, Antero Kukko, Xiaowei Yu, Harri Kaartinen
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 161:246-262
Forest inventories rely on field plots, the measurement of which is costly and time consuming by manual means. Thus, there is a need to automate plot-level field data collection. Mobile laser scanning has yet to be demonstrated for deriving stem curv
Autor:
Matti Lehtomäki, Ville V. Lehtola, Antero Kukko, Heikki Hyyti, Juha Hyyppä, Risto Kaijaluoto, Harri Kaartinen
Publikováno v:
IEEE transactions on geoscience and remote sensing, 57(9):8700597, 6900-6915. IEEE
We explore a novel paradigm for light detection and ranging (LIDAR) point classification in mobile laser scanning (MLS). In contrast to the traditional scheme of performing classification for a 3-D point cloud after registration, our algorithm operat
Autor:
Markus Holopainen, Juha Hyyppä, Risto Kaijaluoto, Mikko Vastaranta, Anttoni Jaakkola, Xiaowei Yu, Harri Kaartinen, Hannu Hyyppä, Yungshen Wang, Jingbin Liu, Jiri Pyörälä, Xinlian Liang, Timo Melkas, Antero Kukko
Publikováno v:
Forests, Vol 6, Iss 9, Pp 3218-3236 (2015)
Forests
Volume 6
Issue 9
Pages 3218-3236
Forests
Volume 6
Issue 9
Pages 3218-3236
A harvester enables detailed roundwood data to be collected during harvesting operations by means of the measurement apparatus integrated into its felling head. These data can be used to improve the efficiency of wood procurement and also replace som
Autor:
Anttoni Jaakkola, Risto Kaijaluoto, Antero Kukko, Juha Hyyppä, Ville V. Lehtola, Harri Kaartinen
Mobile laser scanning (MLS) provides kinematic means to collect three dimensional data from surroundings for various mapping and environmental analysis purposes. Vehicle based MLS has been used for road and urban asset surveys for about a decade. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ece3204fa9db7cb17370f0cfee7147b
https://aaltodoc.aalto.fi/handle/123456789/28213
https://aaltodoc.aalto.fi/handle/123456789/28213
Autor:
Yiwu Wang, Juha Hyyppä, Jian Tang, Harri Kaartinen, Hannu Hyyppä, Changhui Jiang, Ruizhi Chen, Risto Kaijaluoto, Lingli Zhu, Ling Pei, Matti Lehtomäki, Yuwei Chen, Hui Zhou
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 18, Iss 10, p 3228 (2018)
Sensors
Volume 18
Issue 10
Sensors, Vol 18, Iss 10, p 3228 (2018)
Sensors
Volume 18
Issue 10
The growing interest and the market for indoor Location Based Service (LBS) have been drivers for a huge demand for building data and reconstructing and updating of indoor maps in recent years. The traditional static surveying and mapping methods can
Autor:
Matti Kurkela, Tomi Rosnell, Paula Litkey, Juha Hyyppä, Antero Kukko, Matti Vaaja, Risto Kaijaluoto, Lingli Zhu, Andreas Nüchter, Anttoni Jaakkola, Aimad El Issaoui, Eija Honkavaara, Harri Kaartinen, Ville V. Lehtola, Juho-Pekka Virtanen
Publikováno v:
Remote Sensing, Vol 9, Iss 8, p 796 (2017)
Remote Sensing; Volume 9; Issue 8; Pages: 796
Remote Sensing; Volume 9; Issue 8; Pages: 796
Accurate three-dimensional (3D) data from indoor spaces are of high importance for various applications in construction, indoor navigation and real estate management. Mobile scanning techniques are offering an efficient way to produce point clouds, b