Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dejuan Song"'
A New CNN-Bayesian Model for Extracting Improved Winter Wheat Spatial Distribution from GF-2 imagery
Autor:
Chengming Zhang, Yingjuan Han, Feng Li, Shuai Gao, Dejuan Song, Hui Zhao, Keqi Fan, Ya’nan Zhang
Publikováno v:
Remote Sensing, Vol 11, Iss 6, p 619 (2019)
When the spatial distribution of winter wheat is extracted from high-resolution remote sensing imagery using convolutional neural networks (CNN), field edge results are usually rough, resulting in lowered overall accuracy. This study proposed a new p
Externí odkaz:
https://doaj.org/article/86cca5e609a24232ae11f2d74728e043
Publikováno v:
Oxidative medicine and cellular longevity. 2022
Advancements in technology have resulted in increasing concerns over the safety of eye exposure to light illumination, since prolonged exposure to intensive visible light, especially to short-wavelength light in the visible spectrum, can cause photoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e313bb0a344acd86d599ee4e444a7ff
https://pubmed.ncbi.nlm.nih.gov/36124087
https://pubmed.ncbi.nlm.nih.gov/36124087
Autor:
Shouyi Wang, Shuai Gao, Yan Chen, Qingdi Wei, Xiaoxia Yang, Fan Yu, Dejuan Song, Chengming Zhang
When extract building from high resolution remote sensing image with meter/sub-meter accuracy, the shade of trees and interference of roads are the main factors of reducing the extraction accuracy. Proposed a Bayesian Convolutional Neural Networks(BC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e219b88ece1c209b98b905304edd0945
A New CNN-Bayesian Model for Extracting Improved Winter Wheat Spatial Distribution from GF-2 imagery
Autor:
Fan Keqi, Chengming Zhang, Hui Zhao, Shuai Gao, Yingjuan Han, Dejuan Song, Ya’nan Zhang, Feng Li
Publikováno v:
Remote Sensing; Volume 11; Issue 6; Pages: 619
Remote Sensing, Vol 11, Iss 6, p 619 (2019)
Remote Sensing, Vol 11, Iss 6, p 619 (2019)
When the spatial distribution of winter wheat is extracted from high-resolution remote sensing imagery using convolutional neural networks (CNN), field edge results are usually rough, resulting in lowered overall accuracy. This study proposed a new p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a55e320908134dbb8ba323d0ccb2b83e
https://doi.org/10.3390/rs11060619
https://doi.org/10.3390/rs11060619