Zobrazeno 1 - 10
of 261
pro vyhledávání: '"field images"'
Publikováno v:
In Expert Systems With Applications 1 March 2025 262
Publikováno v:
In Optics and Lasers in Engineering July 2024 178
Publikováno v:
In Engineering Applications of Artificial Intelligence June 2024 132
Autor:
de Melo Lima, Bruno Pinheiro a, de Araújo Barbosa Borges, Lurdineide b, Hirose, Edson c, Borges, Díbio Leandro a, d, ⁎
Publikováno v:
In Ecological Informatics May 2024 80
Autor:
Mostafa Farouk Senussi, Hyun-Soo Kang
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9332 (2024)
Occlusion removal in light-field images remains a significant challenge, particularly when dealing with large occlusions. An architecture based on end-to-end learning is proposed to address this challenge that interactively combines CSPDarknet53 and
Externí odkaz:
https://doaj.org/article/f0966f8372864f37922b987c4e968f00
Publikováno v:
Jisuanji kexue yu tansuo, Vol 17, Iss 8, Pp 1904-1916 (2023)
Light field images (LFI) record rich 3D structural and textural details of target scenes, which have great advantages in a wide range of computer vision tasks. However, LFI captured under low-light conditions always suffer from low brightness and str
Externí odkaz:
https://doaj.org/article/77a983c5bbc04014b20a5d75f16d1919
Autor:
Wang, Chunpeng a, 1, Zhang, Qinghua a, ⁎, 1, Xia, Zhiqiu a, ⁎, Zhou, Linna b, Wei, Ziqi c, Zhang, Hao d, Ma, Bin a
Publikováno v:
In Expert Systems With Applications 1 May 2023 217
Autor:
Emmanuel Moupojou, Appolinaire Tagne, Florent Retraint, Anicet Tadonkemwa, Dongmo Wilfried, Hyppolite Tapamo, Marcellin Nkenlifack
Publikováno v:
IEEE Access, Vol 11, Pp 35398-35410 (2023)
The Food and Agriculture Organization of the United Nations suggests increasing the food supply by 70% to feed the world population by 2050, although approximately one third of all food is wasted because of plant diseases or disorders. To achieve thi
Externí odkaz:
https://doaj.org/article/db83acec9d364a93a2e264d7ef465f70
Autor:
William N. Weaver, Stephen A. Smith
Publikováno v:
Applications in Plant Sciences, Vol 11, Iss 5, Pp n/a-n/a (2023)
Abstract Premise Field images are important sources of information for research in the natural sciences. However, images that lack photogrammetric scale bars, including most iNaturalist observations, cannot yield accurate trait measurements. We intro
Externí odkaz:
https://doaj.org/article/470859c039d54d18aeb4e501d295df34
Autor:
Alamgeer, Sana ⁎, Farias, Mylène C.Q.
Publikováno v:
In Signal Processing: Image Communication January 2023 110