Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Kyle L. Landolt"'
Autor:
Zhongqi Miao, Stella X. Yu, Kyle L. Landolt, Mark D. Koneff, Timothy P. White, Luke J. Fara, Enrika J. Hlavacek, Bradley A. Pickens, Travis J. Harrison, Wayne M. Getz
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 9, Iss 4, Pp 439-453 (2023)
Abstract Remote aerial sensing provides a non‐invasive, large geographical‐scale technology for avian monitoring, but the manual processing of images limits its development and applications. Artificial Intelligence (AI) methods can be used to mit
Externí odkaz:
https://doaj.org/article/768e099f37754c19afd064e0a40dc959
Autor:
Tsung-Wei Ke, Stella X Yu, Mark D Koneff, David L Fronczak, Luke J Fara, Travis J Harrison, Kyle L Landolt, Enrika J Hlavacek, Brian R Lubinski, Timothy P White
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0288121 (2024)
Deep learning shows promise for automating detection and classification of wildlife from digital aerial imagery to support cost-efficient remote sensing solutions for wildlife population monitoring. To support in-flight orthorectification and machine
Externí odkaz:
https://doaj.org/article/0181adc128ce4f79afbf043335243e5c