Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Joshua Kelcey"'
Autor:
Arko Lucieer, Joshua Kelcey
Publikováno v:
Remote Sensing, Vol 4, Iss 5, Pp 1462-1493 (2012)
Unmanned aerial vehicles (UAVs) represent a quickly evolving technology, broadening the availability of remote sensing tools to small-scale research groups across a variety of scientific fields. Development of UAV platforms requires broad technical s
Externí odkaz:
https://doaj.org/article/56bd2ed078084fbdb04bdb4fecc8de02
Publikováno v:
Proceedings of the International Conference on Mine Closure.
Mine closure relies on proof of best practice in both design and performance of rehabilitation. Field techniques have been the traditional approach for producing detailed supporting empirical evidence for mine closure. Although field sampling provide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c53fc0fcdca6bebdce683203eb77027b
https://doi.org/10.36487/acg_rep/1915_90_kelcey
https://doi.org/10.36487/acg_rep/1915_90_kelcey
Autor:
Joshua Kelcey, Arko Lucieer
Publikováno v:
Remote Sensing, Vol 4, Iss 5, Pp 1462-1493 (2012)
Remote Sensing; Volume 4; Issue 5; Pages: 1462-1493
Remote Sensing; Volume 4; Issue 5; Pages: 1462-1493
Unmanned aerial vehicles (UAVs) represent a quickly evolving technology, broadening the availability of remote sensing tools to small-scale research groups across a variety of scientific fields. Development of UAV platforms requires broad technical s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::492f05d2fda49d1d89c2dd0bf465fe16
https://doi.org/10.3390/rs4051462
https://doi.org/10.3390/rs4051462
Autor:
Arko Lucieer, Joshua Kelcey
Publikováno v:
IGARSS
The capacity for additional textural derivatives to compensate for the lack of broader spectral sensitivity of consumer grade digitial cameras is established within a UAV context. A texture selection framework utilising random forest machine learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de7c49ac4671416b1af1aa3988e5dd62
https://doi.org/10.1109/igarss.2013.6723680
https://doi.org/10.1109/igarss.2013.6723680