Zobrazeno 1 - 10
of 5 115
pro vyhledávání: '"Cloud removal"'
Autor:
Zheng, Guoqiang1 (AUTHOR) gqzheng@sdjzu.edu.cn, Zhao, Tianle1 (AUTHOR), Liu, Yaohui1 (AUTHOR) liuyaohui20@sdjzu.edu.cn
Publikováno v:
Sensors (14248220). Dec2024, Vol. 24 Issue 23, p7848. 20p.
Cloud cover can significantly hinder the use of remote sensing images for Earth observation, prompting urgent advancements in cloud removal technology. Recently, deep learning strategies have shown strong potential in restoring cloud-obscured areas.
Externí odkaz:
http://arxiv.org/abs/2411.13042
Autor:
Zhou, Hangyu, Kao, Chia-Hsiang, Phoo, Cheng Perng, Mall, Utkarsh, Hariharan, Bharath, Bala, Kavita
Clouds in satellite imagery pose a significant challenge for downstream applications. A major challenge in current cloud removal research is the absence of a comprehensive benchmark and a sufficiently large and diverse training dataset. To address th
Externí odkaz:
http://arxiv.org/abs/2410.23891
Autor:
Wu, Caifeng1 (AUTHOR) caifengwu@hhu.edu.cn, Xu, Feng1,2,3 (AUTHOR) li-xin@hhu.edu.cn, Li, Xin1,2 (AUTHOR) wxyhhu@hhu.edu.cn, Wang, Xinyuan1 (AUTHOR) zhennanxu@hhu.edu.cn, Xu, Zhennan1 (AUTHOR) fangyiwei@hhu.edu.cn, Fang, Yiwei1 (AUTHOR) lvxin@hhu.edu.cn, Lyu, Xin1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Aug2024, Vol. 16 Issue 15, p2867. 25p.
Autor:
Zhang, Wenyi1 (AUTHOR) wenyi_zhang@zju.edu.cn, Zhang, Haoran1 (AUTHOR), Zhang, Xisheng1 (AUTHOR), Shen, Xiaohua1 (AUTHOR), Zou, Lejun1 (AUTHOR) zoulejun2006@zju.edu.cn
Publikováno v:
Remote Sensing. Sep2024, Vol. 16 Issue 17, p3134. 16p.
Autor:
Adugna, Tesfaye1 (AUTHOR) atr@csj.uestc.edu.cn, Xu, Wenbo1,2 (AUTHOR) xuwenbo@uestc.edu.cn, Fan, Jinlong3 (AUTHOR) fanjl@cma.gov.cn, Luo, Xin1,2 (AUTHOR), Jia, Haitao1,2 (AUTHOR)
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 19, p3665. 30p.
Autor:
Han, Jinqi1 (AUTHOR) hjq@nefu.edu.cn, Zhou, Ying2 (AUTHOR), Gao, Xindan1 (AUTHOR) gaoxd@nefu.edu.cn, Zhao, Yinghui3 (AUTHOR)
Publikováno v:
Remote Sensing. Oct2024, Vol. 16 Issue 19, p3658. 25p.
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 4, Pp 1326-1347 (2024)
Cloud coverage has become a significant factor affecting the availability of remote-sensing images in many applications. To mitigate the adverse impact of cloud coverage and recover ground information obscured by clouds, this paper presents a curvatu
Externí odkaz:
https://doaj.org/article/53f72b532a9e47dc93abffa8564ffb34
Autor:
Sun, Dong-Lin1 (AUTHOR) donglin.sun@chd.edu.cn, Ji, Teng-Yu2 (AUTHOR) tengyu.ji@nwpu.edu.cn, Ding, Meng3 (AUTHOR) dingmeng56@swjtu.edu.cn
Publikováno v:
Remote Sensing. May2024, Vol. 16 Issue 9, p1518. 18p.
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