Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Zekang Wan"'
Autor:
Jing Zhang, Renjie Zheng, Zekang Wan, Ruijing Geng, Yi Wang, Yu Yang, Xuepeng Zhang, Yunsong Li
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 436 (2024)
Deep learning is an important research topic in the field of image super-resolution. Problematically, the performance of existing hyperspectral image super-resolution networks is limited by feature learning for hyperspectral images. Nevertheless, the
Externí odkaz:
https://doaj.org/article/48277fae07fe4473ac05567db67e51c7
Publikováno v:
Remote Sensing, Vol 13, Iss 20, p 4180 (2021)
Hyperspectral Image (HSI) can continuously cover tens or even hundreds of spectral segments for each spatial pixel. Limited by the cost and commercialization requirements of remote sensing satellites, HSIs often lose a lot of information due to insuf
Externí odkaz:
https://doaj.org/article/ce275bc8d5724ef6aad6a6a64bc954d9
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030873608
ICIG (3)
ICIG (3)
The resolution of hyperspectral remote sensing images is largely limited by the cost and commercialization requirements of remote sensing satellites. Existing super-resolution methods for improving the spatial resolution of images cannot well integra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c155e90ce8bbce35e286908b99875648
https://doi.org/10.1007/978-3-030-87361-5_31
https://doi.org/10.1007/978-3-030-87361-5_31
Publikováno v:
VCIP
With the development of deep learning, many methods on image denoising have been proposed processing images on a fixed scale or multi-scale which is usually implemented by convolution or deconvolution. However, excessive scaling may lose image detail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::daeef581d1a7c3bbfe3a046b86636d29
https://doi.org/10.1109/vcip49819.2020.9301843
https://doi.org/10.1109/vcip49819.2020.9301843
Autor:
Taiying Chen, Ngalei Tam, Yu Mao, Chengjun Sun, Zekang Wang, Yuchen Hou, Wuzheng Xia, Jia Yu, Linwei Wu
Publikováno v:
Materials Today Bio, Vol 16, Iss , Pp 100338- (2022)
Nanomedicine has been widely studied for the diagnosis and treatment of hepatocellular carcinoma (HCC). How to synthesize a nanoplatform possessing a high synergistic therapeutic efficacy remains a challenge in this emerging research field. In this s
Externí odkaz:
https://doaj.org/article/b3612e22766641ec9f6494bbf6d00a52