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Joint Diagnostic Method of Tumor Tissue Based on Hyperspectral Spectral-Spatial Transfer Features 期刊论文
DIAGNOSTICS, 2023, 卷号: 13, 期号: 12
作者:  Du, Jian;  Tao, Chenglong;  Xue, Shuang;  Zhang, Zhoufeng
Adobe PDF(83446Kb)  |  收藏  |  浏览/下载：32/0  |  提交时间：2023/07/17
hyperspectral imaging  spectral-spatial transfer feature  deep learning  tumor tissue  joint diagnosis  
Push-broom compressive hyperspectral imaging method based on self-fusion refinement 期刊论文
OPTICS COMMUNICATIONS, 2023, 卷号: 530
作者:  Zhu, Mengjun;  Yi, Wenjun;  Du, Junyi;  Zhu, Shuyue;  Qi, Junli;  Fu, Meicheng;  Li, Libo;  Li, Xiujian
Adobe PDF(4641Kb)  |  收藏  |  浏览/下载：67/0  |  提交时间：2023/02/13
Push-broom compressive hyperspectral  imaging  Self-fusion refinement  Modified joint bilateral filtering  
Research on key technologies of hyperspectral imaging system for spaceborne water environment remote sensing monitoring 会议论文
AOPC 2022: Optical Spectroscopy and Imaging, Virtual, Online, China, 2022-12-18
作者:  Song, Shuyao;  Liu, Xiao;  Wang, Xueji;  Liu, Yuyang;  Liu, Hong;  Liu, Jiacheng;  Yu, Tao
Adobe PDF(719Kb)  |  收藏  |  浏览/下载：81/0  |  提交时间：2023/03/13
remote sensing monitoring  hyperspectral imaging  Cassegrain  
Staging of Skin Cancer Based on Hyperspectral Microscopic Imaging and Machine Learning 期刊论文
BIOSENSORS-BASEL, 2022, 卷号: 12, 期号: 10
作者:  Liu, Lixin;  Qi, Meijie;  Li, Yanru;  Liu, Yujie;  Liu, Xing;  Zhang, Zhoufeng;  Qu, Junle
Adobe PDF(2884Kb)  |  收藏  |  浏览/下载：95/0  |  提交时间：2022/11/11
hyperspectral microscopic imaging technology  machine learning  skin cancer  cancer classification  staging identification  
A Deep-Learning Based System for Rapid Genus Identification of Pathogens under Hyperspectral Microscopic Images 期刊论文
CELLS, 2022, 卷号: 11, 期号: 14
作者:  Tao, Chenglong;  Du, Jian;  Tang, Yingxin;  Wang, Junjie;  Dong, Ke;  Yang, Ming;  Hu, Bingliang;  Zhang, Zhoufeng
Adobe PDF(2076Kb)  |  收藏  |  浏览/下载：93/0  |  提交时间：2022/08/31
infectious pathogens  hyperspectral microscopy  bacteria identification  artificial intelligence  imaging  genus  spectral characteristics  
Tensor Decomposition-Inspired Convolutional Autoencoders for Hyperspectral Anomaly Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15, 页码: 4990-5000
作者:  Sun, Bangyong;  Zhao, Zhe;  Liu, Di;  Gao, Xiaomei;  Yu, Tao
Adobe PDF(5267Kb)  |  收藏  |  浏览/下载：118/0  |  提交时间：2022/08/16
Anomaly detection  Hyperspectral imaging  Tensors  Detectors  Feature extraction  Training  Neural networks  Anomaly detection  hyperspectral image (HSI)  tensor decomposition network  
A Novel NMF Guided for Hyperspectral Unmixing From Incomplete and Noisy Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Dong, Le;  Lu, Xiaoqiang;  Liu, Ganchao;  Yuan, Yuan
Adobe PDF(9737Kb)  |  收藏  |  浏览/下载：112/0  |  提交时间：2022/01/18
Image reconstruction  Hyperspectral imaging  Noise measurement  Gaussian noise  Interference  Stability analysis  Sensors  Hyperspectral unmixing (HU)  image reconstruction  nonnegative matrix factorization (NMF)  spatial-spectral information  
Hyperspectral Unmixing Using Nonlocal Similarity-Regularized Low-Rank Tensor Factorization 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Yuan, Yuan;  Dong, Le;  Li, Xuelong
Adobe PDF(5662Kb)  |  收藏  |  浏览/下载：191/0  |  提交时间：2022/01/18
Tensors  TV  Hyperspectral imaging  Data models  Task analysis  Optimization  Data mining  Hyperspectral unmixing  low tensor rank  nonlocal similarity  nonnegative tensor factorization (NTF)  
Uav-borne hyperspectral imaging remote sensing system based on acousto-optic tunable filter for water quality monitoring 期刊论文
Remote Sensing, 2021, 卷号: 13, 期号: 20
作者:  Liu, Hong;  Yu, Tao;  Hu, Bingliang;  Hou, Xingsong;  Zhang, Zhoufeng;  Liu, Xiao;  Liu, Jiacheng;  Wang, Xueji;  Zhong, Jingjing;  Tan, Zhengxuan;  Xia, Shaoxia;  Qian, Bao
Adobe PDF(115362Kb)  |  收藏  |  浏览/下载：129/1  |  提交时间：2021/11/01
hyperspectral imaging  acousto-optic tunable filter  UAV platform  remote sensing  water quality monitoring  
Classification of Common Urinary Pathogens Based on Hyperspectral Microscope Imaging 会议论文
Proceedings of 2021 IEEE 2nd International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2021, Chongqing, China, 2021-12-17
作者:  Tao, Chenglong;  Du, Jian;  Wang, Quan;  Hu, Bingliang;  Zhang, Zhoufeng
Adobe PDF(9660Kb)  |  收藏  |  浏览/下载：157/1  |  提交时间：2022/04/11
Hyperspectral Microscope Imaging  Random Forest  Bacteria  Classification  Urinary Pathogens