Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Wanxu Zhang"'
Autor:
Wanxu Zhang, Kai Jiang, Lin Wang, Na Meng, Yan Zhou, Yanyan Li, Hailong Hu, Xiaoxuan Chen, Bo Jiang
Publikováno v:
IEEE Access, Vol 9, Pp 28976-28986 (2021)
Recently, deep convolutional neural networks (CNNs) have been widely explored in single image super-resolution(SISR) and obtained remarkable performance. However, most of the existing CNN-based SISR methods tend to produce over-smoothed outputs and m
Externí odkaz:
https://doaj.org/article/ffc04ca5aa0842d5bbeb8a176cd89c84
Autor:
Jiayang Zhang, Wanxu Zhang, Bo Jiang, Xiaodan Tong, Keya Chai, Yanchao Yin, Lin Wang, Junhao Jia, Xiaoxuan Chen
Publikováno v:
Remote Sensing, Vol 15, Iss 4, p 1103 (2023)
High-quality remote sensing images play important roles in the development of ecological indicators’ mapping, urban-rural management, urban planning, and other fields. Compared with natural images, remote sensing images have more abundant land cove
Externí odkaz:
https://doaj.org/article/6c0372d3501446df862d006ff7a95832
Autor:
Guoqiang Zhang, Dongping Shen, Bo Ming, Ruizhi Xie, Xiuliang Jin, Chaowei Liu, Peng Hou, Jun Xue, Jianglu Chen, Wanxu Zhang, Wanmao Liu, Keru Wang, Shaokun Li
Publikováno v:
Crop Journal, Vol 7, Iss 3, Pp 322-334 (2019)
Worldwide, scarce water resources and substantial food demands require efficient water use and high yield. This study investigated whether irrigation frequency can be used to adjust soil moisture to increase grain yield and water use efficiency (WUE)
Externí odkaz:
https://doaj.org/article/de8ebf53148542379bf8c058fe4d0588
Autor:
Xiuchao Yue, Xiaoxuan Chen, Wanxu Zhang, Hang Ma, Lin Wang, Jiayang Zhang, Mengwei Wang, Bo Jiang
Publikováno v:
Remote Sensing, Vol 14, Iss 4, p 925 (2022)
A novel super-resolution (SR) method is proposed in this paper to reconstruct high-resolution (HR) remote sensing images. Different scenes of remote sensing images have great disparities in structural complexity. Nevertheless, most existing SR method
Externí odkaz:
https://doaj.org/article/7cd566edbb4f4e908d36905aa25c9970
Publikováno v:
PLoS ONE, Vol 13, Iss 12, p e0209227 (2018)
3D point cloud registration is a key technology in 3D point cloud processing, such as 3D reconstruction, object detection. Trimmed Iterative Closest Point algorithm is a prevalent method for registration of two partially overlapping clouds. However,
Externí odkaz:
https://doaj.org/article/849087c51f344ef7a69c1ab7f82fac61
Autor:
Lin Wang, Chengfeng Liao, Runzhao Yao, Rui Zhang, Wanxu Zhang, Xiaoxuan Chen, Na Meng, Zenghui Yan, Bo Jiang, Cheng Liu
Publikováno v:
Multimedia Tools and Applications.
Autor:
Zhaofu Huang, Shaokun Li, Keru Wang, Shijie Bai, Xianlin Zhou, Shang Gao, Hongyan Li, Xiuliang Jin, Bo Ming, Zhendong Chu, Peng Hou, Zhentao Zhang, Ruizhi Xie, Wanxu Zhang, Lulu Li
Publikováno v:
Agronomy Journal. 113:1467-1479
Autor:
Zhendong Chu, Zhaofu Huang, Lulu Li, Shang Gao, Wanxu Zhang, Bo Ming, Shaokun Li, Keru Wang, Xianlin Zhou, Peng Hou, Hongyan Li, Ruizhi Xie
Publikováno v:
Crop Science. 61:704-714
Autor:
Jianglu Chen, Jun Xue, Peng Hou, Dongping Shen, Bo Ming, Guoqiang Zhang, Shaokun Li, Keru Wang, Xiuliang Jin, Ruizhi Xie, Chaowei Liu, Wanxu Zhang, Wanmao Liu
Publikováno v:
The Crop Journal
The Crop Journal, 2019, 7 (3), pp.322-334. ⟨10.1016/j.cj.2018.10.008⟩
Crop Journal, Vol 7, Iss 3, Pp 322-334 (2019)
Crop Journal 3 (7), 322-334. (2019)
The Crop Journal, 2019, 7 (3), pp.322-334. ⟨10.1016/j.cj.2018.10.008⟩
Crop Journal, Vol 7, Iss 3, Pp 322-334 (2019)
Crop Journal 3 (7), 322-334. (2019)
International audience; Worldwide, scarce water resources and substantial food demands require efficient water use and high yield. This study investigated whether irrigation frequency can be used to adjust soil moisture to increase grain yield and wa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebc4e8e1e1be1ff26d4516e9c5fb485f
https://hal.inrae.fr/hal-02618896/document
https://hal.inrae.fr/hal-02618896/document