Zobrazeno 1 - 10
of 768
pro vyhledávání: '"depth information"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16577-16591 (2024)
Building extraction is a challenging task in remote sensing images (RSI) interpretation. Fusing RSI from different sources, such as high-resolution RSI and LiDAR, is a common strategy to improve the building extraction accuracy. However, the acquisit
Externí odkaz:
https://doaj.org/article/c442f302645643bebf75c85a63b6bba0
Publikováno v:
Electronic Research Archive, Vol 32, Iss 2, Pp 836-856 (2024)
This study addressed the critical role of isolating switches in controlling circuit connections for the stable operation of the substation. Our research introduced an innovative state detection system that utilized depth information guidance, compris
Externí odkaz:
https://doaj.org/article/c87fac0197ed42e6bbdd364905a64e0b
Publikováno v:
IEEE Access, Vol 12, Pp 28369-28381 (2024)
In the modern automotive industry, Advanced Driving Assistance Systems (ADAS) have gradually become a standard feature in various types of vehicles, with the important function of detecting road anomalies. The appearance of anomalies on the road can
Externí odkaz:
https://doaj.org/article/048aee0e404244879dd960fb4a58d309
Autor:
Jing Zhou, Mingren Cui, Yushan Wu, Yudi Gao, Yijia Tang, Bowen Jiang, Min Wu, Jian Zhang, Lixin Hou
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Stem diameter is a critical phenotypic parameter for maize, integral to yield prediction and lodging resistance assessment. Traditionally, the quantification of this parameter through manual measurement has been the norm, notwithstanding its tedious
Externí odkaz:
https://doaj.org/article/66a7839d1ae249ef92309a8185068ec4
Publikováno v:
Sensors, Vol 24, Iss 13, p 4353 (2024)
Acquiring underwater depth maps is essential as they provide indispensable three-dimensional spatial information for visualizing the underwater environment. These depth maps serve various purposes, including underwater navigation, environmental monit
Externí odkaz:
https://doaj.org/article/8902baf18eb449ddbee0b938e6844935
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2081 (2024)
Over the past few years, the applications of unmanned aerial vehicles (UAVs) have greatly increased. However, the decrease in clarity in hazy environments is an important constraint on their further development. Current research on image dehazing mai
Externí odkaz:
https://doaj.org/article/1f56c7b40f4e4e349de2c91c77b8614c
Publikováno v:
Sensors, Vol 24, Iss 11, p 3589 (2024)
In adverse foggy weather conditions, images captured are adversely affected by natural environmental factors, resulting in reduced image contrast and diminished visibility. Traditional image dehazing methods typically rely on prior knowledge, but the
Externí odkaz:
https://doaj.org/article/76efb8116dfb481da0492f15b253c8fa
Autor:
Yue Kun
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper builds a virtual simulation teaching system based on the Unity simulation platform, which contains a network connection module, resource loading module, and so on. Using the combination of natural interaction and virtual simulation teachin
Externí odkaz:
https://doaj.org/article/8515f55f414f479fb13d958d093c6efb
Autor:
S M Rayeed, Sidratul Tamzida Tuba, Hasan Mahmud, Mumtahin Habib Ullah Mazumder, Md., Saddam Hossain Mukta, Md., Kamrul Hasan, Md.
Publikováno v:
Data in Brief, Vol 51, Iss , Pp 109799- (2023)
Sign Language Recognition (SLR) is crucial for enabling communication between the deaf-mute and hearing communities. Nevertheless, the development of a comprehensive sign language dataset is a challenging task due to the complexity and variations in
Externí odkaz:
https://doaj.org/article/65d70e14e0a743c296c6858a544ff642
Autor:
Hina Afridi, Mohib Ullah, Øyvind Nordbø, Solvei Cottis Hoff, Siri Furre, Anne Guro Larsgard, Faouzi Alaya Cheikh
Publikováno v:
Journal of Imaging, Vol 10, Iss 3, p 72 (2024)
We investigate the impact of different data modalities for cattle weight estimation. For this purpose, we collect and present our own cattle dataset representing the data modalities: RGB, depth, combined RGB and depth, segmentation, and combined segm
Externí odkaz:
https://doaj.org/article/eb3e5fa36a404c82b922b8b17d6ec2ae