Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Haijin Zeng"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 7357-7373 (2023)
Hyperspectral image (HSI) processing tasks frequently rely on spatial–spectral total variation (SSTV) to quantify the local smoothness of image structures. However, conventional SSTV only considers a sparse structure of gradient maps computed along
Externí odkaz:
https://doaj.org/article/d7fe84226e4e4929abb85a3eaa880c5f
Autor:
Miao He, Djandan Tadum Arthur Vithran, Linyuan Pan, Haijin Zeng, Guang Yang, Bangbao Lu, Fangjie Zhang
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 13 (2023)
Acute septic arthritis is on the rise among all patients. Acute septic arthritis must be extensively assessed, identified, and treated to prevent fatal consequences. Antimicrobial therapy administered intravenously has long been considered the gold s
Externí odkaz:
https://doaj.org/article/bac0cef8b64a4872a1e48b01d7d12667
From Model-Based Optimization Algorithms to Deep Learning Models for Clustering Hyperspectral Images
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2832 (2023)
Hyperspectral images (HSIs), captured by different Earth observation airborne and space-borne systems, provide rich spectral information in hundreds of bands, enabling far better discrimination between ground materials that are often indistinguishabl
Externí odkaz:
https://doaj.org/article/882fbb7cfb4448258a2c74217ca537a6
Publikováno v:
IEEE Access, Vol 8, Pp 50190-50208 (2020)
Hyperspectral images (HSIs) are usually corrupted by various noises during the image acquisition process, e.g., Gaussian noise, impulse noise, stripes, deadlines and many others. Such complex noise severely degrades the data quality, reduces the inte
Externí odkaz:
https://doaj.org/article/683f146e78444bb79cbf4a86b30228e9
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Publikováno v:
Proceedings of the 2023 3rd International Conference on Bioinformatics and Intelligent Computing.
Publikováno v:
IEEE TRANSACTIONS ON MULTIMEDIA
Autor:
Qingyu Yang, Guang Yang, Jun Jiang, Chongyi Li, Ruicheng Feng, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Chen Change Loy, Jinwei Gu, Zhen Wang, Daoyu Li, Yuzhe Zhang, Lintao Peng, Xuyang Chang, Yinuo Zhang, Yaqi Wu, Xun Wu, Zhihao Fan, Chengjie Xia, Feng Zhang, Haijin Zeng, Kai Feng, Yongqiang Zhao, Hiep Quang Luong, Jan Aelterman, Anh Minh Truong, Wilfried Philips, Xiaohong Liu, Jun Jia, Hanchi Sun, Guangtao Zhai, Longan Xiao, Qihang Xu, Ting Jiang, Qi Wu, Chengzhi Jiang, Mingyan Han, Xinpeng Li, Wenjie Lin, Youwei Li, Haoqiang Fan, Shuaicheng Liu, Rongyuan Wu, Lingchen Sun, Qiaosi Yi
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250712
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::589b034880da246c1d716e12ac2e1a43
https://doi.org/10.1007/978-3-031-25072-9_2
https://doi.org/10.1007/978-3-031-25072-9_2
Publikováno v:
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8f10660d3f82372bc88b8fbee22cbcc
https://biblio.ugent.be/publication/01GY75SDZ3HFTBCC3YWC7BFD6H
https://biblio.ugent.be/publication/01GY75SDZ3HFTBCC3YWC7BFD6H
Publikováno v:
Signal Processing. 206:108901