Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Chao-chao Zheng"'
Publikováno v:
IEEE Access, Vol 7, Pp 79850-79865 (2019)
Hyperspectral image (HSI) denoising is a fundamental task in a plethora of HSI applications. Global low-rank property is widely adopted to exploit the spectral-spatial information of HSIs, providing satisfactory denoising results. In this paper, inst
Externí odkaz:
https://doaj.org/article/93a519ee5c32452cb5568f9a37e6142b
Autor:
Chao-chao Zheng, Ying-ying Jiang, Tian-fei Yu, Jing Li, Jia-min Ai, Mai-ping Li, Xiao-dong Liu, Zhen-shan Deng
Publikováno v:
Archives of microbiology. 204(8)
A rod-shaped, Gram-negative staining strain, FBM22
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95a3e451b9e13a460fe1079e92cfc605
https://pubmed.ncbi.nlm.nih.gov/35900598
https://pubmed.ncbi.nlm.nih.gov/35900598
Publikováno v:
IEEE Access, Vol 7, Pp 79850-79865 (2019)
Hyperspectral image (HSI) denoising is a fundamental task in a plethora of HSI applications. Global low-rank property is widely adopted to exploit the spectral-spatial information of HSIs, providing satisfactory denoising results. In this paper, inst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d5f4612c82151872fa1c479e3f1ec91
https://ieeexplore.ieee.org/document/8737679/
https://ieeexplore.ieee.org/document/8737679/
Publikováno v:
ICIP
In this paper, we develop a sparsity based model for the fusion of a high spatial-resolution image and a multispectral image. The given model is based on the combination of a dynamic gradient sparsity (DGS) and an anisotropic spectral-spatial total v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09ce5b5d8e25d65f41f1f280104dd27b
https://doi.org/10.1109/icip.2017.8296522
https://doi.org/10.1109/icip.2017.8296522
Autor:
Ying Jia, Chao Chao Zheng
Publikováno v:
Advanced Materials Research. :481-484
The construction of highways has changed the state of the atmospheric flow field around this area. Adopting the model of SST k-ω，this paper carries out a numerical simulation of the atmospheric flow field around the highway. The affected area of h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::35711715162cf07a9bc1d606adebbafb
https://doi.org/10.4028/www.scientific.net/amr.639-640.481
https://doi.org/10.4028/www.scientific.net/amr.639-640.481
Publikováno v:
Advanced Materials Research. :31-34
By welding thermo-simulation and actual welding practices, the microstructure and properties of low carbon bridge steels has been studied with the aid of optical microscope, scanning electron microscope. The experimental results show that by the oxid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c8a8e3486c56be77b5a2ed9bef4936f
https://doi.org/10.4028/www.scientific.net/amr.562-564.31
https://doi.org/10.4028/www.scientific.net/amr.562-564.31
Publikováno v:
Advanced Materials Research. :252-255
The influence of the oxide inclusions on the microstucture, properties and the Heat-affected-zone (HAZ) toughness of low alloy steels has been investigated. The low alloying steels were smelted with special oxide introduction technique and the proper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86969b226654fa93f576a6078ab46bbe
https://doi.org/10.4028/www.scientific.net/amr.476-478.252
https://doi.org/10.4028/www.scientific.net/amr.476-478.252
Publikováno v:
Remote Sensing; Volume 10; Issue 4; Pages: 622
Pan-sharpening is used to fuse multispectral images and panchromatic images to produce a multispectral image with high spatial resolution. In this paper, we design a new iterative method based on framelet for pan-sharpening. The proposed model takes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0364d125fcf9939c1788010ff729bfd7
https://doi.org/10.3390/rs10040622
https://doi.org/10.3390/rs10040622
Autor:
Jing L; College of Life Sciences, Yan'an University, Yan'an, China., Jia-Min A; College of Life Sciences, Yan'an University, Yan'an, China., Xiao-Dong L; College of Life Sciences, Yan'an University, Yan'an, China., Ying-Ying J; College of Life Sciences, Yan'an University, Yan'an, China., Chao-Chao Z; College of Life Sciences, Yan'an University, Yan'an, China., Rui-Hua Z; College of Life Sciences, Yan'an University, Yan'an, China., Zhen-Shan D; College of Life Sciences, Yan'an University, Yan'an, China.
Publikováno v:
Frontiers in microbiology [Front Microbiol] 2022 Jul 22; Vol. 13, pp. 945127. Date of Electronic Publication: 2022 Jul 22 (Print Publication: 2022).