Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Meiqi Hu"'
Publikováno v:
SusMat, Vol 4, Iss 4, Pp n/a-n/a (2024)
Abstract Hydrogen is a favored alternative to fossil fuels due to the advantages of cleanliness, zero emissions, and high calorific value. Large‐scale green hydrogen production can be achieved using proton exchange membrane water electrolyzers (PEM
Externí odkaz:
https://doaj.org/article/d8eadd45e3b0418da215439ef1a25254
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 9735-9748 (2023)
Remote sensing change detection (CD) is used to detect the difference in the state of objects or phenomena by observing it at different times. CD is widely used in disaster monitoring, land-use and land-cover change analysis, urban expansion detectio
Externí odkaz:
https://doaj.org/article/b05df1fac1f24eb8bcbc15c13075eb6f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8395-8407 (2023)
The rapid advancement of automated artificial intelligence algorithms and remote sensing instruments has benefited change detection (CD) tasks. However, there is still a lot of space to study for precise detection, especially the edge integrity and i
Externí odkaz:
https://doaj.org/article/ee723e05a57f48c0ab0ac1f5248510ff
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3867-3878 (2023)
Benefiting from the developments in deep learning technology, deep-learning-based algorithms employing automatic feature extraction have achieved remarkable performance on the change detection (CD) task. However, the performance of existing deep-lear
Externí odkaz:
https://doaj.org/article/87b4d33e2fe74b139a3e2e91c60014e3
Autor:
Chen Wu, Sihan Zhu, Jiaqi Yang, Meiqi Hu, Bo Du, Liangpei Zhang, Lefei Zhang, Chengxi Han, Meng Lan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 5180-5193 (2021)
As the COVID-19 epidemic began to worsen in the first months of 2020, stringent lockdown policies were implemented in numerous cities throughout the world to control human transmission and mitigate its spread. Although traffic density reduction insid
Externí odkaz:
https://doaj.org/article/70f34eaed41244cba926c9bb18a8b502
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3750-3762 (2021)
With the hyperspectral imaging technology, hyperspectral data provides abundant spectral information and plays a more important role in the geological survey, vegetation analysis, and military reconnaissance. Different from normal change detection, h
Externí odkaz:
https://doaj.org/article/9ccbf9580e36411da1faf995ad625f21
Publikováno v:
Neural Networks. 163:205-218
Publikováno v:
IEEE Transactions on Image Processing. 32:791-806
Characterized by tremendous spectral information, hyperspectral image is able to detect subtle changes and discriminate various change classes for change detection. The recent research works dominated by hyperspectral binary change detection, however
Autor:
Shengqi Xu, Lu Yang, Yixuan Wei, Yiming Jia, Meiqi Hu, Lianxia Bai, Junzheng Zhang, Xinxin Li, Shuo Wei, Jun Lu
Publikováno v:
Dalton Transactions. 51:8036-8045
A series of 2D layered perovskites were used for photocatalytic CO2 reduction with a CO/CH4 yield of 158.69/6.9 μmol g−1 h−1. The monochromatic light matching their exciton absorption enhanced the yield by 1.27 times, compared with the full spec
The fast development of self-supervised learning lowers the bar learning feature representation from massive unlabeled data and has triggered a series of research on change detection of remote sensing images. Challenges in adapting self-supervised le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f7482cc89d7f3624519e48e9492de42
http://arxiv.org/abs/2207.09634
http://arxiv.org/abs/2207.09634