Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yingzhao Shao"'
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2619 (2024)
One of the significant challenges with traditional single-task learning-based anomaly detection using noisy hyperspectral images (HSIs) is the loss of anomaly targets during denoising, especially when the noise and anomaly targets are similar. This i
Externí odkaz:
https://doaj.org/article/d28d9ceacf164b598adca880522c878d
Publikováno v:
IET Computers & Digital Techniques, Vol 2024 (2024)
Convolutional neural networks (CNNs) have been widely used in satellite remote sensing. However, satellites in orbit with limited resources and power consumption cannot meet the storage and computing power requirements of current million-scale artifi
Externí odkaz:
https://doaj.org/article/990e8d5ba8004689ab8f441d58c9cd3f
Autor:
Yingzhao Shao, Yunsong Li, Li Li, Yuanle Wang, Yuchen Yang, Yueli Ding, Mingming Zhang, Yang Liu, Xiangqiang Gao
Publikováno v:
Remote Sensing, Vol 15, Iss 23, p 5570 (2023)
Hyperspectral anomaly detection (HAD) is of great interest for unknown exploration. Existing methods only focus on local similarity, which may show limitations in detection performance. To cope with this problem, we propose a relationship attention-g
Externí odkaz:
https://doaj.org/article/a6971d0c7fbd49b387ea1f8e7ba11002
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3979 (2020)
Many spatiotemporal image fusion methods in remote sensing have been developed to blend highly resolved spatial images and highly resolved temporal images to solve the problem of a trade-off between the spatial and temporal resolution from a single s
Externí odkaz:
https://doaj.org/article/918de84001ae45b899c8c2436909c9cc
Autor:
Shuwei Hou, Wenfang Sun, Baolong Guo, Xiaodong Li, Jianhua Zhang, Changzhi Xu, Xiaobo Li, Yingzhao Shao, Cheng Li
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-18
Autor:
Gang Chen, Huijian Liang, Yi Jin, Sujun Wang, Yifan Ping, Tianjiao Xie, Changzhi Xu, Yingzhao Shao
Publikováno v:
2022 5th International Conference on Data Science and Information Technology (DSIT).
Publikováno v:
Advances in Intelligent Automation and Soft Computing ISBN: 9783030810061
Advances in Intelligent Automation and Soft Computing
Advances in Intelligent Automation and Soft Computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11d512d6ae32ad696941a9d01626599c
https://doi.org/10.1007/978-3-030-81007-8_80
https://doi.org/10.1007/978-3-030-81007-8_80
Publikováno v:
Wireless and Satellite Systems ISBN: 9783030690717
With the rapid development of satellite Internet and space cloud, space cloud data security will become an important problem to be solved. In this paper, a method for secure storage and transmission of user privacy data in space cloud in the future i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81999ad29fa7c1f917848fc3d723c61b
https://doi.org/10.1007/978-3-030-69072-4_41
https://doi.org/10.1007/978-3-030-69072-4_41
Publikováno v:
Journal of Physics: Conference Series. 2203:012042
Based on large-scale storage and networked computing resources, cloud computing technology provides a strong computing platform which could support for massive data storage and big data intelligent application in the different field. Space-based info