Julkaisut - Selaus asiasanan mukaan "UAS"

High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning

Oliveira, Raquel Alves; Näsi, Roope; Korhonen, Panu; Mustonen, Arja; Niemeläinen, Oiva; Koivumäki, Niko; Hakala, Teemu; Suomalainen, Juha; Kaivosoja, Jere; Honkavaara, Eija
Precision Agriculture (Springer Science and Business Media LLC, 2023)

Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS

Heikki, Salo; Ville, Tirronen; Ilkka, Pölönen; Sakari, Tuominen; Andras, Balazs; Jan, Heikkilä; Heikki, Saari
Proceedings of SPIE : 8.5.2012 (2012)

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases

Kaivosoja, Jere; Hautsalo, Juho; Heikkinen, Jaakko; Hiltunen, Lea; Ruuttunen, Pentti; Näsi, Roope; Niemeläinen, Oiva; Lemsalu, Madis; Honkavaara, Eija; Salonen, Jukka
Remote sensing : 7 (MDPI, 2021)

Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV

Alves Oliveira, Raquel; Marcato Junior, José; Soares Costa, Celso; Näsi, Roope; Koivumäki, Niko; Niemeläinen, Oiva; Nyholm, Laura; Pistori, Hemerson; Honkavaara, Eija; Kaivosoja, Jere
Agronomy : 6 (MDPI AG, 2022)

UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges

Näsi, R.; Honkavaara, E.; Tuominen, Sakari; Saari, H.; Pölönen, I.; Hakala, T.; Viljanen, N.; Soukkamäki, J.; Näkki, I.; Ojanen, H.; Reinikainen, J.
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (International Society for Photogrammetry and Remote Sensing, 2016)

Unmanned Aerial Vehicle (UAV) operated spectral camera system for forest and agriculture applications

Saari, Heikki; Pellikka, Ismo; Pesonen, Liisa; Tuominen, Sakari; Heikkilä, Jan; Holmlund, Christer; Mäkynen, Jussi; Ojala, Kai; Antila, Tapani
Proceedings of SPIE (SPIE, 2011)

Julkaisut - Selaus asiasanan mukaan "UAS"

High-precision estimation of grass quality and quantity using UAS-based VNIR and SWIR hyperspectral cameras and machine learning ﻿

Methods for estimating forest stem volumes by tree species using digital surface model and CIR images taken from light UAS ﻿

Reference Measurements in Developing UAV Systems for Detecting Pests, Weeds, and Diseases ﻿

Silage Grass Sward Nitrogen Concentration and Dry Matter Yield Estimation Using Deep Regression and RGB Images Captured by UAV ﻿

UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges ﻿

Unmanned Aerial Vehicle (UAV) operated spectral camera system for forest and agriculture applications ﻿