Zobrazeno 1 - 10
of 186
pro vyhledávání: '"thermal infrared images"'
Autor:
Chenchen Jiang, Huazhong Ren, Hong Yang, Hongtao Huo, Pengfei Zhu, Zhaoyuan Yao, Jing Li, Min Sun, Shihao Yang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103918- (2024)
Fusing multi-modal information from visible (VIS) and thermal infrared (TIR) images is crucial for object detection in fully adapting to varied lighting conditions. However, the existing models usually treat VIS and TIR images as independent informat
Externí odkaz:
https://doaj.org/article/a07c75c78dca4dd4ae2462f03041214c
Publikováno v:
Environmental Sciences Proceedings, Vol 26, Iss 1, p 33 (2023)
Atmospheric water vapor is an important greenhouse gas, mainly distributed in the lower tropospheric levels where its concentration varies significantly in space and time; consequently, so does precipitable water. This work uses information from ther
Externí odkaz:
https://doaj.org/article/127d22f023f9429f91f7f9c65896039a
Autor:
Chenchen Jiang, Huazhong Ren, Xin Ye, Jinshun Zhu, Hui Zeng, Yang Nan, Min Sun, Xiang Ren, Hongtao Huo
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102912- (2022)
Object detection is one of the most crucial tasks in computer vision and remote sensing to identify specific categories of various objects in images. The unmanned aerial vehicle (UAV)-based thermal infrared (TIR) remote sensing multi-scenario images
Externí odkaz:
https://doaj.org/article/36be36bfae1c4a37a9b330fe01cc18f9
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2628 (2023)
Ground Control Points (GCPs) are of great significance for applications involving the registration and fusion of heterologous remote sensing images (RSIs). However, utilizing low-level information rather than deep features, traditional methods based
Externí odkaz:
https://doaj.org/article/1e8ed401b1b4465c81c0ea91e944148b
Autor:
Zhen Wang, Shuai Wang, Chunguang Wang, Yong Zhang, Zheying Zong, Haichao Wang, Lide Su, Yingjie Du
Publikováno v:
Agriculture, Vol 13, Iss 2, p 385 (2023)
Traditional methods of cow estrus monitoring technology are not suitable for the current needs of large-scale, intensive and welfare-based farming. There is a need to improve the detection rate of cow estrus and to reduce the emergency response cause
Externí odkaz:
https://doaj.org/article/56a781c084564fdc8ba8be5f1cd44f21
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 291 (2023)
This paper discusses the potential of using infrared remote sensing data to determine geocryological conditions in the northern part of the Yenisei Ridge in Russia. Landsat-8 thermal infrared images and land surface data were used for our analysis. T
Externí odkaz:
https://doaj.org/article/34ef97e7479b45d7bc06ba02f87eb096
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Sensors, Vol 22, Iss 17, p 6710 (2022)
The thermal imaging pedestrian-detection system has excellent performance in different lighting scenarios, but there are problems regarding weak texture, object occlusion, and small objects. Meanwhile, large high-performance models have higher latenc
Externí odkaz:
https://doaj.org/article/cabdd2c97d554dcbba5a2cb0819bea1a
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.