Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jonas Hruska"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6515-6531 (2021)
Hyperspectral sensors mounted in unmanned aerial vehicles offer new opportunities to explore high-resolution multitemporal spectral analysis in remote sensing applications. Nevertheless, the use of hyperspectral data still poses challenges mainly in
Externí odkaz:
https://doaj.org/article/b790a196ee9a4b7a9cd3ee2808fa40a5
Autor:
Joaquim J. Sousa, Piero Toscano, Alessandro Matese, Salvatore Filippo Di Gennaro, Andrea Berton, Matteo Gatti, Stefano Poni, Luís Pádua, Jonáš Hruška, Raul Morais, Emanuel Peres
Publikováno v:
Sensors, Vol 22, Iss 17, p 6574 (2022)
Hyperspectral aerial imagery is becoming increasingly available due to both technology evolution and a somewhat affordable price tag. However, selecting a proper UAV + hyperspectral sensor combo to use in specific contexts is still challenging and la
Externí odkaz:
https://doaj.org/article/81889f00be84467d8451e69286190089
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 11, p 679 (2020)
Currently, the use of free and open-source software is increasing. The flexibility, availability, and maturity of this software could be a key driver to develop useful and interesting solutions. In general, open-source solutions solve specific tasks
Externí odkaz:
https://doaj.org/article/65b557fa8cab46008330d4cbd013a406
Autor:
Pedro Marques, Luís Pádua, Telmo Adão, Jonáš Hruška, Emanuel Peres, António Sousa, Joaquim J. Sousa
Publikováno v:
Remote Sensing, Vol 11, Iss 7, p 855 (2019)
Unmanned aerial vehicles have become a popular remote sensing platform for agricultural applications, with an emphasis on crop monitoring. Although there are several methods to detect vegetation through aerial imagery, these remain dependent of manua
Externí odkaz:
https://doaj.org/article/597e496c71404c7e8d07e6c590af636f
Autor:
Luís Pádua, Pedro Marques, Jonáš Hruška, Telmo Adão, Emanuel Peres, Raul Morais, Joaquim J. Sousa
Publikováno v:
Remote Sensing, Vol 10, Iss 12, p 1907 (2018)
This study aimed to characterize vineyard vegetation thorough multi-temporal monitoring using a commercial low-cost rotary-wing unmanned aerial vehicle (UAV) equipped with a consumer-grade red/green/blue (RGB) sensor. Ground-truth data and UAV-based
Externí odkaz:
https://doaj.org/article/df8d602db8bc46349fb4aae964d0544f
Autor:
Luís Pádua, Jonáš Hruška, José Bessa, Telmo Adão, Luís M. Martins, José A. Gonçalves, Emanuel Peres, António M. R. Sousa, João P. Castro, Joaquim J. Sousa
Publikováno v:
Remote Sensing, Vol 10, Iss 1, p 24 (2017)
Due to strong improvements and developments achieved in the last decade, it is clear that applied research using remote sensing technology such as unmanned aerial vehicles (UAVs) can provide a flexible, efficient, non-destructive, and non-invasive me
Externí odkaz:
https://doaj.org/article/89b67131cec241f89259a90779b1e8d0
Autor:
Telmo Adão, Jonáš Hruška, Luís Pádua, José Bessa, Emanuel Peres, Raul Morais, Joaquim João Sousa
Publikováno v:
Remote Sensing, Vol 9, Iss 11, p 1110 (2017)
Traditional imagery—provided, for example, by RGB and/or NIR sensors—has proven to be useful in many agroforestry applications. However, it lacks the spectral range and precision to profile materials and organisms that only hyperspectral sensors
Externí odkaz:
https://doaj.org/article/fe6d2815f65c4499b3897bdff9b2515b