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Spectral encoder to extract the efficient features of Raman spectra for reliable and precise quantitative analysis 期刊论文
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2024, 卷号: 312
作者:  Gao, Chi;  Fan, Qi;  Zhao, Peng;  Sun, Chao;  Dang, Ruochen;  Feng, Yutao;  Hu, Bingliang;  Wang, Quan
Adobe PDF(2752Kb)  |  收藏  |  浏览/下载：41/1  |  提交时间：2024/04/08
Raman spectroscopy  Quantitative analysis  Deep learning  Spectral encoder  Feature extraction  
Spatial weighted kernel spectral angle constraint method for hyperspectral change detection 期刊论文
Journal of Applied Remote Sensing, 2022, 卷号: 16, 期号: 1
作者:  Liu, Song;  Song, Liyao;  Li, Haiwei;  Chen, Junyu;  Zhang, Geng;  Hu, Bingliang;  Wang, Shuang;  Li, Siyuan
Adobe PDF(3507Kb)  |  收藏  |  浏览/下载：111/1  |  提交时间：2022/05/07
change detection  hyperspectral image  kernel  spectral angle  
Hyperspectral deep convolution anomaly detection based on weight adjustment strategy 期刊论文
Applied Optics, 2020, 卷号: 59, 期号: 31, 页码: 9633-9642
作者:  Chong, Dan;  Hu, Bingliang;  Gao, Xiaohui;  Gao, Hao;  Xia, Pu;  Wu, Yinhua
Adobe PDF(2184Kb)  |  收藏  |  浏览/下载：161/4  |  提交时间：2020/12/01
Using hyperspectral imaging automatic classification of gastric cancer grading with a shallow residual network 期刊论文
ANALYTICAL METHODS, 2020, 卷号: 12, 期号: 30, 页码: 3844-3853
作者:  Liu, Song;  Wang, Quan;  Zhang, Geng;  Du, Jian;  Hu, Bingliang;  Zhang, Zhoufeng
Adobe PDF(1114Kb)  |  收藏  |  浏览/下载：145/4  |  提交时间：2020/08/28
Tumor tissue classification based on micro-hyperspectral technology and deep learning 期刊论文
Biomedical Optics Express, 2019, 卷号: 10, 期号: 12, 页码: 6370-6389
作者:  Bingliang Hu;  Jian Du;  Zhoufeng Zhang;  Quan Wang
Adobe PDF(2615Kb)  |  收藏  |  浏览/下载：242/3  |  提交时间：2019/12/24
Target detection of hyperspectral image based on spectral saliency 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 2, 页码: 316-322
作者:  Zhang, Xiaorong;  Pan, Zhibin;  Hu, Bingliang;  Zheng, Xi;  Liu, Weihua
Adobe PDF(3248Kb)  |  收藏  |  浏览/下载：244/3  |  提交时间：2019/03/14
hyperspectral imaging  object detection  remote sensing  geophysical image processing  hyperspectral image  remote sensing  unsupervised target detection  spectral saliency target detection  HSI set  spectral matching algorithm  SSD algorithm  
A neighborhood vector principal component analysis method for small defect target detection 会议论文
International Conference on Photonics and Imaging in Biology and Medicine, PIBM 2017, Suzhou, China, 2017-09-26
作者:  Wang, Zhengzhou;  Yin, Qinye;  Kou, Jingwei;  Xia, Yanwen;  Hu, Bingliang;  Yin, Qinye (qyyin@mail.xjtu.edu.cn)
Adobe PDF(241Kb)  |  收藏  |  浏览/下载：213/1  |  提交时间：2017/12/29