Zobrazeno 1 - 10
of 263
pro vyhledávání: '"Lv ZhiYong"'
Video anomaly detection (VAD) often learns the distribution of normal samples and detects the anomaly through measuring significant deviations, but the undesired generalization may reconstruct a few anomalies thus suppressing the deviations. Meanwhil
Externí odkaz:
http://arxiv.org/abs/2409.17608
Autor:
Omid Ghorbanzadeh, Sansar Raj Meena, Hejar Shahabi Sorman Abadi, Sepideh Tavakkoli Piralilou, Lv Zhiyong, Thomas Blaschke
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 452-463 (2021)
Beyond the direct hazards of earthquakes, the deposited mass of earthquake-induced landslide (EQIL) in the riverbeds causes the river to thrust upward. The EQIL inventories are generated mostly by the traditional or semisupervised mapping approaches,
Externí odkaz:
https://doaj.org/article/269f600e1f7a498dafa52684756fd659
Autor:
Lv ZhiYong, FengJun Wang, LinFu Xie, WeiWei Sun, Nicola Falco, Jon Atli Benediktsson, ZhenZhen You
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 10199-10212 (2021)
Change vector analysis (CVA) is a simple yet attractive method to detect changes with remote sensing images. Since its first introduction in 1980, CVA has received increased attention from the remote sensing community, leading to the definition of se
Externí odkaz:
https://doaj.org/article/898187b4dcfc4b34a192f865dae7c150
Autor:
Zhang Kaituo, Lv Zhiyong
Publikováno v:
E3S Web of Conferences, Vol 252, p 03037 (2021)
The size and distribution of wear particle in lubricating oil, as important numerical information available in ferrography, is one of the key indexes in wear diagnosis. In this paper, a new method for measuring the size and distribution of abrasive p
Externí odkaz:
https://doaj.org/article/e99f4e70d1734901a340ad6b61019fc7
Autor:
Lei, Tao, Xu, Yetong, Ning, Hailong, Lv, Zhiyong, Min, Chongdan, Jin, Yaochu, Nandi, Asoke K.
Popular Transformer networks have been successfully applied to remote sensing (RS) image change detection (CD) identifications and achieve better results than most convolutional neural networks (CNNs), but they still suffer from two main problems. Fi
Externí odkaz:
http://arxiv.org/abs/2306.01988
Publikováno v:
In Journal of Visual Communication and Image Representation February 2024 98
Akademický článek
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Autor:
Lv, Zhiyong1 (AUTHOR), Zhuang, Jinwu1 (AUTHOR), Wu, Jin1 (AUTHOR), Liu, Luhui1 (AUTHOR), Yuan, Zhifang1 (AUTHOR), Jiang, Zhuangxian2 (AUTHOR), Wang, Xiangjun1 (AUTHOR) wxjnue@163.com
Publikováno v:
Energies (19961073). Nov2023, Vol. 16 Issue 22, p7546. 19p.
Autor:
Lv, Zhiyong, Wang, Xiangjun, Zhuang, Jinwu, Jiang, Zhuangxian, Yuan, Zhifang, Liu, Luhui, Wu, Jin
Publikováno v:
Electronics (2079-9292); Nov2024, Vol. 13 Issue 21, p4270, 14p
Publikováno v:
In Pattern Recognition February 2022 122