Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Fuxiao Zhu"'
Autor:
Dongchuan Yan, Hao Zhang, Guoqing Li, Xiangqiang Li, Hua Lei, Kaixuan Lu, Lianchong Zhang, Fuxiao Zhu
Publikováno v:
Remote Sensing, Vol 14, Iss 1, p 103 (2021)
The breaching of tailings pond dams may lead to casualties and environmental pollution; therefore, timely and accurate monitoring is an essential aspect of managing such structures and preventing accidents. Remote sensing technology is suitable for t
Externí odkaz:
https://doaj.org/article/303519cf0b5948d4b73c87f63ebb2ceb
Autor:
Zhaoqiang Huang, Wenxuan Huang, Sheng Li, Bin Ni, Yalong Zhang, Mingwei Wang, Maolin Chen, Fuxiao Zhu
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4886 (2021)
According to historical information, more than 300 metal smelting enterprises have been in the southwest of Xiongan for 300 years; however, these polluting enterprises have been gradually closed with the increased intensity of environmental protectio
Externí odkaz:
https://doaj.org/article/867465e56f674194a65325612b5ebd3b
Autor:
Dongchuan Yan, Guoqing Li, Xiangqiang Li, Hao Zhang, Hua Lei, Kaixuan Lu, Minghua Cheng, Fuxiao Zhu
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2052 (2021)
Dam failure of tailings ponds can result in serious casualties and environmental pollution. Therefore, timely and accurate monitoring is crucial for managing tailings ponds and preventing damage from tailings pond accidents. Remote sensing technology
Externí odkaz:
https://doaj.org/article/73b61cb39da945f496e618df13f9b27d
Autor:
Yirui Zhao, Hang Yang, Hongshun Hao, Fuxiao Zhu, Gongliang Zhang, Jingran Bi, Shuang Yan, Hongman Hou
Publikováno v:
Langmuir. 38:13437-13447
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfbf1311c5784bb34d81ac03d94a5785
https://doi.org/10.1021/acs.langmuir.2c01881
https://doi.org/10.1021/acs.langmuir.2c01881
Autor:
Yutong Hu, Fuxiao Zhu, Gongliang Zhang, Jingran Bi, Hongman Hou, Shuang Yan, Feng Hong, Hongshun Hao
Publikováno v:
Colloids and Surfaces A: Physicochemical and Engineering Aspects. 671:131641
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a738483cd778a92a8414c10e6c620909
https://doi.org/10.1016/j.colsurfa.2023.131641
https://doi.org/10.1016/j.colsurfa.2023.131641
Publikováno v:
Soft Computing. 25:3155-3173
Spatial feature matching is the key to detecting incremental changes in spatial data and extracting the updated information. The accuracy of spatial feature matching can depend on the structural organization of the data being compared; inconsistent d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51b85cd0c40909d15b005e099f160494
https://doi.org/10.1007/s00500-020-05371-z
https://doi.org/10.1007/s00500-020-05371-z
Publikováno v:
International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2f25b28bd191ae0e865b9734bd04669
https://doi.org/10.1117/12.2637092
https://doi.org/10.1117/12.2637092
Autor:
Jingkai Min, Hongshun Hao, Yirui Zhao, Yutong Hu, Qiqi Huang, Fuxiao Zhu, Gongliang Zhang, Jingran Bi, Shuang Yan, Hongman Hou
Publikováno v:
Colloids and Surfaces A: Physicochemical and Engineering Aspects. 650:129529
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc932040684bfbea9eea112a517668f9
https://doi.org/10.1016/j.colsurfa.2022.129529
https://doi.org/10.1016/j.colsurfa.2022.129529
Autor:
Mingwei Wang, Zhaoqiang Huang, Maolin Chen, Bin Ni, Fuxiao Zhu, Yalong Zhang, Sheng Li, Wenxuan Huang
Publikováno v:
Remote Sensing; Volume 13; Issue 23; Pages: 4886
Remote Sensing, Vol 13, Iss 4886, p 4886 (2021)
Remote Sensing, Vol 13, Iss 4886, p 4886 (2021)
According to historical information, more than 300 metal smelting enterprises have been in the southwest of Xiongan for 300 years; however, these polluting enterprises have been gradually closed with the increased intensity of environmental protectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ecafcc0a4584f029fa860a5e7ca8c50
https://doi.org/10.3390/rs13234886
https://doi.org/10.3390/rs13234886
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 783:012134
Baiyangdian Lake is the largest wetland ecosystem in North China, which has a special strategic position, so it is of great significance to study its temporal and spatial changes. Based on the 112 Landsat satellite remote sensing data from 1984 to 20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0125eefcfcc2307be7e11284a7e2614
https://doi.org/10.1088/1755-1315/783/1/012134
https://doi.org/10.1088/1755-1315/783/1/012134