Zobrazeno 1 - 10
of 530
pro vyhledávání: '"UAV image"'
Autor:
Yunze Xiao, Nan Di
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Currently, lightweight small object detection algorithms for unmanned aerial vehicles (UAVs) often employ group convolutions, resulting in high Memory Access Cost (MAC) and rendering them unsuitable for edge devices that rely on parallel com
Externí odkaz:
https://doaj.org/article/16ec66c0cf104553afbc7f0c72807225
Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 3, Iss 3 (2024)
The use of unmanned aerial vehicles (UAVs) for aerial photography has become increasingly popular in various fields, including engineering, urban planning, environmental impact studies, and monitoring of transportation lines, power supplies, and othe
Externí odkaz:
https://doaj.org/article/911e0ad7562d447285775e5b47c8a306
Autor:
Yuzheng Liu, Jianxun Zhang, Lei Shi, Mingxiang Huang, Linyu Lin, Lingfeng Zhu, Xianglu Lin, Chuanlei Zhang
Publikováno v:
Array, Vol 22, Iss , Pp 100340- (2024)
In the domain of outdoor construction within the power industry, working at significant heights is common, requiring stringent safety measures. Workers are mandated to wear hard hats and secure themselves with seat belts to prevent potential falls, e
Externí odkaz:
https://doaj.org/article/e028bb46af4f4772a03a0f235d8a031a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14836-14847 (2024)
Vehicle detection in unmanned aerial vehicle (UAV) images is a fundamental task in photogrammetry and remote sensing. While great success has been achieved, this task remains challenging due to two aspects: 1) the limitation of existing annotation me
Externí odkaz:
https://doaj.org/article/f6054e4632c64319bcfe32c46f30569d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8810-8822 (2024)
In this article, a novel deep learning framework, fuzzy EfficientDet, is proposed to address the challenge of accurately detecting larch infested by Coleophora laricella pests in UAV imagery, where the key innovation is the incorporation of the fuzzy
Externí odkaz:
https://doaj.org/article/6f6d7e715d824ae89becc3a9e02906d4
Autor:
Zhenbang Hao, Lili Lin, Christopher J. Post, Elena A. Mikhailova, Kunyong Yu, Huirong Fang, Jian Liu
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 3753-3771 (2023)
Individual tree detection and delineation (ITDD) is an important subject in forestry and urban forestry. This study represents the first research to propose the concept of crown resolution to comprehensively evaluate the co-effect of image resolution
Externí odkaz:
https://doaj.org/article/3299407ac611419d8023cebdb5df77ec
Autor:
Jiaxiang Zhai, Nan Wang, Bifeng Hu, Jianwen Han, Chunhui Feng, Jie Peng, Defang Luo, Zhou Shi
Publikováno v:
Remote Sensing, Vol 16, Iss 19, p 3671 (2024)
Texture features have been consistently overlooked in digital soil mapping, especially in soil salinization mapping. This study aims to clarify how to leverage texture information for monitoring soil salinization through remote sensing techniques. We
Externí odkaz:
https://doaj.org/article/f6cc3b24cc20414f9480d0011d126396
Autor:
Shuailing Zhang, Hailin Yu, Bingquan Tian, Xiaoli Wang, Wenhao Cui, Lei Yang, Jingqian Li, Huihui Gong, Junsheng Zhao, Liqun Lu, Jing Zhao, Yubin Lan
Publikováno v:
Agronomy, Vol 14, Iss 10, p 2205 (2024)
In order to accurately obtain the seedling emergence rate of breeding sunflower and to assess the quality of sowing as well as the merit of sunflower varieties, a method of extracting the sunflower seedling emergence rate using multi-source remote se
Externí odkaz:
https://doaj.org/article/6c3da1f1147046f288e352f1739bbd62
Publikováno v:
Drones, Vol 8, Iss 9, p 452 (2024)
In recent years, accurate field monitoring has been a research hotspot in the domains of aerial remote sensing and satellite remote sensing. In view of this, this study proposes an innovative cross-platform super-resolution reconstruction method for
Externí odkaz:
https://doaj.org/article/68ce066aba454e1b885d237e68072707
Autor:
Li Hong, Hussin Norriza
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The advancement of computer vision technology, coupled with developments in deep learning theory, has facilitated the widespread application of deep learning across various domains. This paper leverages the YOLOv7 deep learning algorithm to incorpora
Externí odkaz:
https://doaj.org/article/99da7b57ebe94385ad489936dcf42a0e