Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pinghao Wu"'
Publikováno v:
Atmosphere, Vol 14, Iss 12, p 1813 (2023)
This paper presents a semi-supervised change detection optimization strategy as a means to mitigate the reliance of unsupervised/semi-supervised algorithms on pseudo-labels. The benefits of the Class-balanced Self-training Framework (CBST) and Deepla
Externí odkaz:
https://doaj.org/article/5b099e4804e3414e8040b1923bd03945
Publikováno v:
IEEE Access, Vol 8, Pp 161752-161764 (2020)
In technologically underdeveloped areas, water pollution threatens the living environment of local residents, so remote sensing monitoring of the features around reservoirs is necessary. Fully convolutional networks (FCNs) offer great potential for e
Externí odkaz:
https://doaj.org/article/b42aa3e43f2c477a9e07dfe0be91839f
Publikováno v:
IEEE Access, Vol 8, Pp 128476-128489 (2020)
Accurate estimations of impervious surface areas are essential for urban planning development. Linear spectral mixture analysis (LSMA) is commonly adopted to extract the impervious surface (IS) fraction in a mixed pixel at the subpixel scale. However
Externí odkaz:
https://doaj.org/article/94668a1a333040ac83fd7ef2fc20ea47
Publikováno v:
Energy Exploration & Exploitation, Vol 38 (2020)
The predicted wind power in coastal waters is an important factor when planning and developing offshore wind farms. The stochastic wind field challenges the accuracy of these predictions. Using single-point wind measurements, most previous studies ha
Externí odkaz:
https://doaj.org/article/b1d10e72422141e7921dc888d759e5a8
Publikováno v:
IEEE Access, Vol 8, Pp 161752-161764 (2020)
In technologically underdeveloped areas, water pollution threatens the living environment of local residents, so remote sensing monitoring of the features around reservoirs is necessary. Fully convolutional networks (FCNs) offer great potential for e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d17a2b59314a53d33273df73b76ee341
https://doi.org/10.1109/access.2020.3021071
https://doi.org/10.1109/access.2020.3021071
Publikováno v:
Science of The Total Environment. 672:479-490
Statistical modeling using ground-based PM2.5 observations and satellite-derived aerosol optical depth (AOD) data is a promising means of obtaining spatially and temporally continuous PM2.5 estimations to assess population exposure to PM2.5. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::585fd07fa14535b7c26c8fb3321d17dc
https://doi.org/10.1016/j.scitotenv.2019.03.480
https://doi.org/10.1016/j.scitotenv.2019.03.480
Autor:
Pinghao Wu, Kaiwen Zhong, Li Wang, Jianhui Xu, Yingyi Liang, Hongda Hu, Yunpeng Wang, Jiayi Le
Publikováno v:
Building and Environment. 215:108985
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd93eda7949368a14558a8c5cc0a518f
https://doi.org/10.1016/j.buildenv.2022.108985
https://doi.org/10.1016/j.buildenv.2022.108985
Publikováno v:
Energy Exploration & Exploitation, Vol 38 (2020)
The predicted wind power in coastal waters is an important factor when planning and developing offshore wind farms. The stochastic wind field challenges the accuracy of these predictions. Using single-point wind measurements, most previous studies ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35da3982c776f2792fdad645836cc019
https://doaj.org/article/b1d10e72422141e7921dc888d759e5a8
https://doaj.org/article/b1d10e72422141e7921dc888d759e5a8
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811561054
Offshore wind is an important source of information for monitoring the interaction between fishery and marine water vapor environment. In this paper, the CMOD5 function was used to invert the wind field in the coastal waters of Guangdong province in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea33ada4a0aee65a87d5814b1320dc04
https://doi.org/10.1007/978-981-15-6106-1_11
https://doi.org/10.1007/978-981-15-6106-1_11
