Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Mika Karjalainen"'
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 9, Iss , Pp 100046- (2023)
The application of deep learning methods to remote sensing data has produced good results in recent studies. A promising application area is automatic land cover classification (semantic segmentation) from very high-resolution satellite imagery. Howe
Externí odkaz:
https://doaj.org/article/f2162b4a9d124a75909b310ae70aedb9
Autor:
Samantha Wittke, Anne Fouilloux, Petteri Lehti, Juuso Varho, Arttu Kivimäki, Maiju Karhu, Mika Karjalainen, Matti Vaaja, Eetu Puttonen
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101421- (2023)
Remote sensing satellites provide a vast amount of data to monitor and observe Earth’s surface and events on it. To use these data efficiently in subsequent analysis and decision-making, highly automated easy-to-use tools are needed. Here, we prese
Externí odkaz:
https://doaj.org/article/80d322ec87fd4830a4747de977f81563
Autor:
Chen Chen, Jianliang Zhu, Yuming Bo, Yuwei Chen, Changhui Jiang, Jianxin Jia, Zhiyong Duan, Mika Karjalainen, Juha Hyyppä
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2506 (2023)
Many studies have focused on the smartphone-based global navigation satellite system (GNSS) for its portability. However, complex urban environments, such as urban canyons and tunnels, can easily interfere with GNSS signal qualities. Current smartpho
Externí odkaz:
https://doaj.org/article/ec4a0b61eded4db38759595bf1371100
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 91, Iss , Pp 102133- (2020)
This paper analyzes the backscatter of the microwave signal in a boreal forest environment based on a Ku -band airborne Frequency-Modulated Continuous Waveform (FMCW) profiling radar—Tomoradar. We selected a half-managed boreal forest in the southe
Externí odkaz:
https://doaj.org/article/d718b1f210c94128a6a48247e6361476
Autor:
Jianxin Jia, Haibin Sun, Changhui Jiang, Kirsi Karila, Mika Karjalainen, Eero Ahokas, Ehsan Khoramshahi, Peilun Hu, Chen Chen, Tianru Xue, Tinghuai Wang, Yuwei Chen, Juha Hyyppä
Publikováno v:
Remote Sensing, Vol 13, Iss 21, p 4235 (2021)
Digital maps of road networks are a vital part of digital cities and intelligent transportation. In this paper, we provide a comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images, hyper
Externí odkaz:
https://doaj.org/article/b8f9b2a6184a455a9968b60d4002538b
Autor:
Pirjo Peltonen-Sainio, Lauri Jauhiainen, Eija Honkavaara, Samantha Wittke, Mika Karjalainen, Eetu Puttonen
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
Monocultural land use challenges sustainability of agriculture. Pre-crop value indicates the benefits of a previous crop for a subsequent crop in crop sequencing and facilitates diversification of agricultural systems. Traditional field experiments a
Externí odkaz:
https://doaj.org/article/2d722fb7941042c9aefa9e0e5465dd64
Autor:
Eetu Puttonen, Matti Lehtomäki, Paula Litkey, Roope Näsi, Ziyi Feng, Xinlian Liang, Samantha Wittke, Miloš Pandžić, Teemu Hakala, Mika Karjalainen, Norbert Pfeifer
Publikováno v:
Frontiers in Plant Science, Vol 10 (2019)
Terrestrial Laser Scanning (TLS) can be used to monitor plant dynamics with a frequency of several times per hour and with sub-centimeter accuracy, regardless of external lighting conditions. TLS point cloud time series measured at short intervals pr
Externí odkaz:
https://doaj.org/article/3c5622e6ff474aac8d7212eba2a6a936
Autor:
Xiaowei Yu, Juha Hyyppä, Mika Karjalainen, Kimmo Nurminen, Kirsi Karila, Mikko Vastaranta, Ville Kankare, Harri Kaartinen, Markus Holopainen, Eija Honkavaara, Antero Kukko, Anttoni Jaakkola, Xinlian Liang, Yunsheng Wang, Hannu Hyyppä, Masato Katoh
Publikováno v:
Remote Sensing, Vol 7, Iss 12, Pp 15933-15954 (2015)
It is anticipated that many of the future forest mapping applications will be based on three-dimensional (3D) point clouds. A comparison study was conducted to verify the explanatory power and information contents of several 3D remote sensing data so
Externí odkaz:
https://doaj.org/article/00f5889e84794395b86b36aee8a5964b
Autor:
Sanna Kaasalainen, Markus Holopainen, Mika Karjalainen, Mikko Vastaranta, Ville Kankare, Kirsi Karila, Batuhan Osmanoglu
Publikováno v:
Forests, Vol 6, Iss 1, Pp 252-270 (2015)
Research activities combining lidar and radar remote sensing have increased in recent years. The main focus in combining lidar-radar forest remote sensing has been on the retrieval of the aboveground biomass (AGB), which is a primary variable related
Externí odkaz:
https://doaj.org/article/35588b322463408ba9cac5a547654d78
Publikováno v:
Remote Sensing, Vol 6, Iss 5, Pp 4090-4108 (2014)
The objective of this study was to obtain up-to-date information on land use and to identify long term changes in land use, especially rice, aquaculture and other crops in Ben Tre and Tra Vinh provinces in Vietnam’s Mekong Delta. Long-term changes
Externí odkaz:
https://doaj.org/article/700511b183b34719b0e041b42c7638a6