Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Yanshun Han"'
Autor:
Xiangtai Xi, Jihua Xu, Shuanglu Li, Jingyi Song, Wen Yang, Yang Sun, Shouzhen Jiang, Yanshun Han, Xiuwei Fan
Publikováno v:
Sensors, Vol 20, Iss 4, p 991 (2020)
A highly sensitive Au-graphene structure D-type fiber surface plasmon resonance biosensor is presented in this study to specifically detect biomolecules. The method of growing graphene is employed directly on the copper, and then a gold film of optim
Externí odkaz:
https://doaj.org/article/a5348c2e46374d10a7b1ae87f190a8b4
Autor:
Haiyan Gu, Yanshun Han, Yi Yang, Haitao Li, Zhengjun Liu, Uwe Soergel, Thomas Blaschke, Shiyong Cui
Publikováno v:
Remote Sensing, Vol 10, Iss 4, p 590 (2018)
Remote sensing (RS) image segmentation is an essential step in geographic object-based image analysis (GEOBIA) to ultimately derive “meaningful objects”. While many segmentation methods exist, most of them are not efficient for large data sets. T
Externí odkaz:
https://doaj.org/article/75ba4babc6e341e486513ed617468c42
Publikováno v:
IGARSS
In view of the lack of overall design and research for remote sensing image deep learning change detection, a deep learning driven “data input - network design - model training - test time augmentation” end-to-end remote sensing image change dete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ed65ca29106689ae0c5c1a60ca66014
https://doi.org/10.1109/igarss39084.2020.9324076
https://doi.org/10.1109/igarss39084.2020.9324076
Autor:
Baoyuan Man, Yanshun Han, Zhengyi Lu, Chonghui Li, Tingyin Ning, Shouzhen Jiang, Xiaofei Zhao, Yingqiang Sheng, Yang Jiao, Jia Guo
Publikováno v:
Applied Surface Science. 433:45-50
The methods of chemical vapor deposition (CVD) and seed-mediated growth were used to obtain graphene and gold nanorods (GNRs), respectively. We fabricate graphene @ gold nanorods (G@GNRs) nanocomposites by successively using dropping and transferring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ada15df2bcffdefce49612d149b4d90
https://doi.org/10.1016/j.apsusc.2017.10.042
https://doi.org/10.1016/j.apsusc.2017.10.042
Autor:
Yan Jun Liu, Shouzhen Jiang, Litao Hu, Chao Zhang, Zhengyi Lu, Dan Luo, Chonghui Li, Peixi Chen, Yanshun Han
Publikováno v:
Journal of Materials Chemistry C. 5:3908-3915
We demonstrate graphene oxide (GO)-decorated Ag dendritic nanostructures on a copper substrate for surface enhanced Raman scattering (SERS) applications. The Ag dendrites (AgD) were synthesized through a facile and low-cost galvanic replacement react
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f5c1a5632483d1b1cf0ff2971d6c166
https://doi.org/10.1039/c7tc00381a
https://doi.org/10.1039/c7tc00381a
Publikováno v:
Infrared Physics & Technology. 111:103453
With chemical vapor deposition (CVD) method, Bismuth Selenide (Bi2Se3)/mica was synthesized and developed into a saturable absorber (SA). This type of SA has a large optical threshold and outstanding thermal stability, offering the possibility to wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a81cab8745ceea3ecb7540f4c6406a2
https://doi.org/10.1016/j.infrared.2020.103453
https://doi.org/10.1016/j.infrared.2020.103453
Autor:
Wen Yang, Xiuwei Fan, Shouzhen Jiang, Xi Xiangtai, Yang Sun, Jingyi Song, Shuanglu Li, Jihua Xu, Yanshun Han
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 4
Sensors, Vol 20, Iss 4, p 991 (2020)
Sensors
Volume 20
Issue 4
Sensors, Vol 20, Iss 4, p 991 (2020)
A highly sensitive Au-graphene structure D-type fiber surface plasmon resonance biosensor is presented in this study to specifically detect biomolecules. The method of growing graphene is employed directly on the copper, and then a gold film of optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e64aae7a165baae1997f77cc9cead4eb
https://doi.org/10.3390/s20040991
https://doi.org/10.3390/s20040991
Autor:
Uwe Soergel, Haiyan Gu, Haitao Li, Thomas Blaschke, Yanshun Han, Zhengjun Liu, Shiyong Cui, Yi Yang
Publikováno v:
Remote Sensing
Volume 10
Issue 4
Pages: 590
Remote Sensing, Vol 10, Iss 4, p 590 (2018)
Volume 10
Issue 4
Pages: 590
Remote Sensing, Vol 10, Iss 4, p 590 (2018)
Remote sensing (RS) image segmentation is an essential step in geographic object-based image analysis (GEOBIA) to ultimately derive “meaningful objects”. While many segmentation methods exist, most of them are not efficient for large data sets. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c1c80ef737ea30972e82e65f44ef640d
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W1, Pp 167-171 (2013)
The research on coupling both data source is very important for improving the accuracy of Image information interpretation and target recognition. In this paper a classifier is presented, which is based on integration of both active and passive remot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6265d546906bd4a74315d52f660754aa
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W1/167/2013/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W1/167/2013/
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXIX-B7, Pp 253-256 (2012)
A classifier based on Bayesian theory and Markov random field (MRF) is presented to classify the active microwave and passive optical remote sensing data, which have demonstrated their respective advantages in inversion of surface soil moisture conte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::656e70adb5ebcd70a6ccd359a60e40fb
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/253/2012/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/253/2012/