Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Peng, Junhuan"'
Autor:
Ma, Xu1 (AUTHOR) maxu@email.cugb.edu.cn, Peng, Junhuan1 (AUTHOR) pengjunhuan@163.com, Su, Yuhan1 (AUTHOR) zheng_cugb@163.com, Shi, Mengyao2 (AUTHOR) shimengyao@kust.edu.cn, Zheng, Yueze1,3 (AUTHOR) lixu2021@163.com, Li, Xu1 (AUTHOR) gzhzy1996@163.com, Jiang, Xinwei1 (AUTHOR)
Publikováno v:
Remote Sensing. Jun2024, Vol. 16 Issue 11, p1940. 24p.
Autor:
Ran, Jiangjun, Liu, Lin, Zhang, Guoqing, Shum, C.K., Qiu, Jiahui, Hu, Ruigang, Li, Jianping, Peng, Junhuan, Hwang, Cheinway, Luan, Yi, Sun, Yue, Xu, Min, Chen, Dingmei, Ding, Jun, Zhong, Yulong
Publikováno v:
In Science of the Total Environment 15 January 2024 908
Autor:
Zheng, Yueze1,2 (AUTHOR) lichuyu1996@163.com, Peng, Junhuan1 (AUTHOR) pengjunhuan@163.com, Li, Chuyu2 (AUTHOR) huangmeng121@126.com, Chen, Xue3 (AUTHOR) chenxue@cugb.edu.cn, Peng, Yun4 (AUTHOR) zsertyf@126.com, Ma, Xu1 (AUTHOR), Huang, Meng2 (AUTHOR)
Publikováno v:
Remote Sensing. Feb2024, Vol. 16 Issue 3, p445. 14p.
With a small number of labeled samples for training, it can save considerable manpower and material resources, especially when the amount of high spatial resolution remote sensing images (HSR-RSIs) increases considerably. However, many deep models fa
Externí odkaz:
http://arxiv.org/abs/2010.03116
Autor:
Cao, Yun, Mei, Jie, Wang, Yuebin, Zhang, Liqiang, Peng, Junhuan, Zhang, Bing, Li, Lihua, Zheng, Yibo
Subspace learning (SL) plays an important role in hyperspectral image (HSI) classification, since it can provide an effective solution to reduce the redundant information in the image pixels of HSIs. Previous works about SL aim to improve the accurac
Externí odkaz:
http://arxiv.org/abs/2010.03115
Autor:
Qi, Xiaoman, Zhu, PanPan, Wang, Yuebin, Zhang, Liqiang, Peng, Junhuan, Wu, Mengfan, Chen, Jialong, Zhao, Xudong, Zang, Ning, Mathiopoulos, P. Takis
To better understand scene images in the field of remote sensing, multi-label annotation of scene images is necessary. Moreover, to enhance the performance of deep learning models for dealing with semantic scene understanding tasks, it is vital to tr
Externí odkaz:
http://arxiv.org/abs/2010.00243
Autor:
Lv, Jie, Gao, Zhouzheng, Kan, Junyao, Lan, Ruohua, Li, You, Lou, Yilan, Yang, Honglei, Peng, Junhuan
Publikováno v:
In Measurement 15 February 2022 189
Publikováno v:
In Advances in Space Research 15 November 2021 68(10):4016-4023
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