Zobrazeno 1 - 10
of 203
pro vyhledávání: '"Antero Kukko"'
Autor:
Aada Hakula, Lassi Ruoppa, Matti Lehtomäki, Xiaowei Yu, Antero Kukko, Harri Kaartinen, Josef Taher, Leena Matikainen, Eric Hyyppä, Ville Luoma, Markus Holopainen, Ville Kankare, Juha Hyyppä
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 13, Iss , Pp 100067- (2024)
Externí odkaz:
https://doaj.org/article/65f133c0a832499888eadcdc98243b0c
Autor:
Xinlian Liang, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, Juha Hyyppä
Publikováno v:
Geo-spatial Information Science, Pp 1-27 (2024)
Information about trees in forest is essential for the assessment of the quantity and the quality of forest ecosystem services. Recently, Deep Learning (DL) methods were regarded as a new cornerstone of algorithm development. Semantic annotations of
Externí odkaz:
https://doaj.org/article/99da4b506d424ee8b3f7c40680a9e235
Autor:
Valtteri Soininen, Eric Hyyppä, Jesse Muhojoki, Ville Luoma, Harri Kaartinen, Matti Lehtomäki, Antero Kukko, Juha Hyyppä
Publikováno v:
Science of Remote Sensing, Vol 9, Iss , Pp 100125- (2024)
Monitoring forest growth accurately is important for assessing and controlling forest carbon stocks that impact, for example, the atmospheric CO2 concentration and, consequently, the climate change. In prior studies, forest growth monitoring with las
Externí odkaz:
https://doaj.org/article/10b1478850174231a978887893ff9e1a
Publikováno v:
Science of Remote Sensing, Vol 9, Iss , Pp 100121- (2024)
In this paper, we compare the positioning accuracy of commercial, mobile laser scanning systems operating under a forest canopy. The accuracy was evaluated on a 800-m-long positioning track, using tree locations from both a traditional field referenc
Externí odkaz:
https://doaj.org/article/bf08344f890749a6b1683b920a178dc4
Autor:
Tamás Faitli, Eric Hyyppä, Heikki Hyyti, Teemu Hakala, Harri Kaartinen, Antero Kukko, Jesse Muhojoki, Juha Hyyppä
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3292 (2024)
Automating forest machines to optimize the forest value chain requires the ability to map the surroundings of the machine and to conduct accurate measurements of nearby trees. In the near-to-medium term, integrating a forest harvester with a mobile l
Externí odkaz:
https://doaj.org/article/824c3a6a31154227a6e2951d6b507f16
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 12, Iss , Pp 100061- (2024)
Real-time semantic segmentation of point clouds has increasing importance in applications related to 3D city modelling and mapping, automated inventory of forests, autonomous driving and mobile robotics. Current state-of-the-art point cloud semantic
Externí odkaz:
https://doaj.org/article/ea7739b06bf14cd2932c945b7f03d9f5
Autor:
Shawn M. Chartrand, A. Mark Jellinek, Antero Kukko, Anna Grau Galofre, Gordon R. Osinski, Shannon Hibbard
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Stream networks in Arctic and high-elevation regions underlain by frozen ground (i.e., permafrost) are expanding and developing in response to accelerating global warming, and intensifying summertime climate variability. The underlying proce
Externí odkaz:
https://doaj.org/article/cb334d0909f347ba963d16ed2d02bf9f
Autor:
Jesse Muhojoki, Daniella Tavi, Eric Hyyppä, Matti Lehtomäki, Tamás Faitli, Harri Kaartinen, Antero Kukko, Teemu Hakala, Juha Hyyppä
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1721 (2024)
The use of mobile laser scanning for mapping forests has scarcely been studied in difficult forest conditions. In this paper, we compare the accuracy of retrieving tree attributes, particularly diameter at breast height (DBH), stem curve, stem volume
Externí odkaz:
https://doaj.org/article/3ada1ea395f5401aaea383cc2679390c
Autor:
Olli Winberg, Jiri Pyörälä, Xiaowei Yu, Harri Kaartinen, Antero Kukko, Markus Holopainen, Johan Holmgren, Matti Lehtomäki, Juha Hyyppä
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 9, Iss , Pp 100040- (2023)
We showed that a mobile handheld laser scanner (HHLS) provides useful features concerning the wood quality-influencing external structures of trees. When linked with wood properties measured at a sawmill utilizing state-of-the-art X-ray scanners, the
Externí odkaz:
https://doaj.org/article/2c3abf4218c24307b7a3180e25970d01
Autor:
Aada Hakula, Lassi Ruoppa, Matti Lehtomäki, Xiaowei Yu, Antero Kukko, Harri Kaartinen, Josef Taher, Leena Matikainen, Eric Hyyppä, Ville Luoma, Markus Holopainen, Ville Kankare, Juha Hyyppä
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 9, Iss , Pp 100039- (2023)
Tree species characterise biodiversity, health, economic potential, and resilience of an ecosystem, for example. Tree species classification based on remote sensing data, however, is known to be a challenging task. In this paper, we study for the fir
Externí odkaz:
https://doaj.org/article/4c067d09477f4631aaf3d5b3db5cbf36