Zobrazeno 1 - 10
of 187
pro vyhledávání: '"Ouyang, Chaojun"'
We consider solving complex spatiotemporal dynamical systems governed by partial differential equations (PDEs) using frequency domain-based discrete learning approaches, such as Fourier neural operators. Despite their widespread use for approximating
Externí odkaz:
http://arxiv.org/abs/2407.11158
Large-scale hydrodynamic models generally rely on fixed-resolution spatial grids and model parameters as well as incurring a high computational cost. This limits their ability to accurately forecast flood crests and issue time-critical hazard warning
Externí odkaz:
http://arxiv.org/abs/2403.12226
Change detection (CD) by comparing two bi-temporal images is a crucial task in remote sensing. With the advantages of requiring no cumbersome labeled change information, unsupervised CD has attracted extensive attention in the community. However, exi
Externí odkaz:
http://arxiv.org/abs/2308.01146
Autor:
Zhao, Tianjie, Wang, Sheng, Ouyang, Chaojun, Chen, Min, Liu, Chenying, Zhang, Jin, Yu, Long, Wang, Fei, Xie, Yong, Li, Jun, Wang, Fang, Grunwald, Sabine, Wong, Bryan M., Zhang, Fan, Qian, Zhen, Xu, Yongjun, Yu, Chengqing, Han, Wei, Sun, Tao, Shao, Zezhi, Qian, Tangwen, Chen, Zhao, Zeng, Jiangyuan, Zhang, Huai, Letu, Husi, Zhang, Bing, Wang, Li, Luo, Lei, Shi, Chong, Su, Hongjun, Zhang, Hongsheng, Yin, Shuai, Huang, Ni, Zhao, Wei, Li, Nan, Zheng, Chaolei, Zhou, Yang, Huang, Changping, Feng, Defeng, Xu, Qingsong, Wu, Yan, Hong, Danfeng, Wang, Zhenyu, Lin, Yinyi, Zhang, Tangtang, Kumar, Prashant, Plaza, Antonio, Chanussot, Jocelyn, Zhang, Jiabao, Shi, Jiancheng, Wang, Lizhe
Publikováno v:
In The Innovation 9 September 2024 5(5)
Autor:
Zhang, Binlan, Ouyang, Chaojun, Cui, Peng, Xu, Qingsong, Wang, Dongpo, Zhang, Fei, Li, Zhong, Fan, Linfeng, Lovati, Marco, Liu, Yanling, Zhang, Qianqian
Publikováno v:
In The Innovation 6 May 2024 5(3)
Autor:
Chen, Yanglong1,2 (AUTHOR), Ouyang, Chaojun1,2 (AUTHOR) cjouyang@imde.ac.cn, Xu, Qingsong3 (AUTHOR), Yang, Weibin1,2 (AUTHOR)
Publikováno v:
Earth & Space Science. Mar2024, Vol. 11 Issue 3, p1-13. 13p.
We consider the problem of segmentation and classification of high-resolution and hyperspectral remote sensing images. Unlike conventional natural (RGB) images, the inherent large scale and complex structures of remote sensing images pose major chall
Externí odkaz:
http://arxiv.org/abs/2008.08775
Automatic recognition and segmentation methods now become the essential requirement in identifying co-seismic landslides, which are fundamental for disaster assessment and mitigation in large-scale earthquakes. This approach used to be carried out th
Externí odkaz:
http://arxiv.org/abs/1908.10907
Autor:
Zhang, Binlan1,2 (AUTHOR) binbinlan@stu.cdut.edu.cn, Ouyang, Chaojun2 (AUTHOR) cjouyang@imde.ac.cn, Wang, Dongpo1 (AUTHOR) wangdongpo2014@cdut.edu.cn, Wang, Fulei2 (AUTHOR), Xu, Qingsong3 (AUTHOR) qingsong.xu@tum.de
Publikováno v:
Remote Sensing. Oct2023, Vol. 15 Issue 20, p5075. 11p.
Autor:
An, Huicong, Ouyang, Chaojun, Wang, Fulei, Xu, Qingsong, Wang, Dongpo, Yang, Weibin, Fan, Tianzhen
Publikováno v:
In Engineering Geology 5 March 2022 298