Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Ouyang Gao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9746-9759 (2022)
Landslide detection based on remote sensing images is an effective method for rapidly and accurately detecting landslide regions, which can aid in disaster prevention and mitigation. Landslide detection methods based on semantic segmentation can be u
Externí odkaz:
https://doaj.org/article/76153e99f7f64ea39faa6c75b34ed429
Akademický článek
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Autor:
QIN, Chuan-Guang, LU, Cai-Xia, OUYANG, Gao-Wei, QIN, Ke, ZHANG, Feng, SHI, Hai-Tong, WANG, Xiao-Hui
Publikováno v:
In Chinese Journal of Analytical Chemistry March 2015 43(3):433-443
Autor:
LI Ming-tao, Zhang Hongbo, Cheng Xin, Zhang Yi-Teng, Huang Min, Zhou Bin, Song Hong-qiang, Tian Hui, Liu Yu, Lin Jun, Xiang Lei, Chong Xiao-yu, Ouyang Gao-xiang, JI Hai-sheng, FU Hui-shan, Feng Jing, Zhang Shen-yi, Huang Shan-jie, Zhang Wei-jie, Jin Zhen-yu, Zhang XianGuo, Deng Lei, Lü Qun-bo, Wang Min, Dong Liang, Li Yan
Publikováno v:
Chinese Astronomy and Astrophysics. 45:301-351
This paper is to introduce a proposed deep space mission, which aims to perform in situ detection of the central structure, namely the magnetic reconnection current sheet, which drives the large-scale eruption on a star. The main focus of this missio
Publikováno v:
2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Publikováno v:
2022 IEEE 10th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Publikováno v:
2021 CIE International Conference on Radar (Radar).
Autor:
Qin Li, Wei Liu, Chaoyang Niu, Yanyun Wang, Ouyang Gao, Yintu Bao, Weiqi Zou, Haobo Zhang, Qing Hu, Zhikang Lin, Chaofan Pan
Publikováno v:
Proceedings of the 3rd International Conference on Advanced Information Science and System.
Publikováno v:
2021 IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).
Semantic segmentation can distinguish objects in remote sensing images at the pixel level. However, traditional semantic segmentation algorithms are more and more difficult to meet people's needs. With the rapid development of deep learning, especial
Autor:
Ouyang, Gao-Xiong1 (AUTHOR), Zhang, Yu-mei2 (AUTHOR), Zhu, Shao-Liang1 (AUTHOR), Wang, Peng3 (AUTHOR), Ren, Yuan1 (AUTHOR), Li, Jia-Hao1 (AUTHOR), Liu, Yu-Kai1 (AUTHOR), Chen, Jun4 (AUTHOR), Xiang, Bang-De1 (AUTHOR), Li, Le-Qun1 (AUTHOR), Liu, Jian-Yong1 (AUTHOR) ljyljy99@aliyun.com, Zhang, Zhi-Ming1 (AUTHOR) zhzm1977@yeah.net
Publikováno v:
Scientific Reports. 8/30/2018, Vol. 8 Issue 1, p1-12. 12p.