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Deep neural network: As the novel pipelines in multiple preprocessing for Raman spectroscopy 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 302
作者:  Gao, Chi;  Zhao, Peng;  Fan, Qi;  Jing, Haonan;  Dang, Ruochen;  Sun, Weifeng;  Feng, Yutao;  Hu, Bingliang;  Wang, Quan
Adobe PDF(2962Kb)  |  收藏  |  浏览/下载：91/0  |  提交时间：2023/09/25
Raman spectroscopy  Deep learning  Baseline correction  Spectroscopy denoising  
Spectral Calibration for SO2 Cameras with Light Dilution Effect Correction 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 14
作者:  Wu, Kuijun;  Guo, Jianjun;  Zhang, Zihao;  Zhang, Huiliang;  Li, Juan;  Li, Faquan;  He, Weiwei
Adobe PDF(7046Kb)  |  收藏  |  浏览/下载：58/0  |  提交时间：2023/10/13
SO2 camera  calibration  light dilution  atmospheric scattering  emission rate  
Learning a Fully Connected U-Net for Spectrum Reconstruction of Fourier Transform Imaging Spectrometers 期刊论文
Remote Sensing, 2022, 卷号: 14, 期号: 4
作者:  Chen, Tieqiao;  Su, Xiuqin;  Li, Haiwei;  Li, Siyuan;  Liu, Jia;  Zhang, Geng;  Feng, Xiangpeng;  Wang, Shuang;  Liu, Xuebin;  Wang, Yihao;  Zou, Chunbo
Adobe PDF(10978Kb)  |  收藏  |  浏览/下载：197/4  |  提交时间：2022/03/09
Fourier transform imaging spectrometers (FTISs)  spectrum reconstruction (SpecR)  deep learning  U-Net  fully connected U-Net (FCUN)  
Snapshot compressive spectral-depth imaging based on light field 期刊论文
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2022, 卷号: 2022, 期号: 1
作者:  Ding, Xiaoming;  Yan, QiangQiang;  Hu, Liang;  Zhou, Shubo;  Wei, Ruyi;  Wang, Xiaocheng;  Li, Yupeng
Adobe PDF(3326Kb)  |  收藏  |  浏览/下载：152/0  |  提交时间：2022/02/14
Multidimensional Imaging  Spectral imaging  Compressed sensing  Light field  Depth estimation  
Supervised Dimensionality Reduction Methods via Recursive Regression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 9, 页码: 3269-3279
作者:  Liu, Yun;  Zhang, Rui;  Nie, Feiping;  Li, Xuelong;  Ding, Chris
Adobe PDF(1723Kb)  |  收藏  |  浏览/下载：198/1  |  提交时间：2020/10/23
Dimensionality reduction  Linear discriminant analysis  Eigenvalues and eigenfunctions  Learning systems  Computer science  Optical imaging  Optics  Optimal scaling (OS)  orthogonal least squares regression (OLSR)  orthogonal linear discriminant analysis (OLDA)  recursive regression  supervised dimensionality reduction  
A Hybrid Demosaicking Algorithm for Area Scan Industrial Camera Based on Fuzzy Edge Strength and Residual Interpolation 期刊论文
IEEE Transactions on Industrial Informatics, 2020, 卷号: 16, 期号: 6, 页码: 4038-4048
作者:  Sun, Bangyong;  Yuan, Nianzeng;  Zhao, Zhe
Adobe PDF(5916Kb)  |  收藏  |  浏览/下载：214/2  |  提交时间：2020/04/09
strength  fuzzy membership  image demosaicking  residual interpolation (RI)  
Restoration Method of Hadamard Coding Spectral Imager 期刊论文
APPLIED SPECTROSCOPY, 2020, 卷号: 74, 期号: 5, 页码: 583-596
作者:  Tang Xingjia;  Xu Zongben;  Li Libo;  Wang Shuang;  Hu Bingliang;  Wang Feng
Adobe PDF(1032Kb)  |  收藏  |  浏览/下载：194/5  |  提交时间：2020/05/29
Hadamard coding  spectral imaging  error analysis  reconstruction method  push-sweep  
OpenMRE: A Numerical Platform for MRE Study 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 3, 页码: 1111-1121
作者:  Li, Bing Nan;  Shan, Xiang;  Xiang, Kui;  Kobayashi, Etsuko;  Wang, Meng;  Li, Xuelong
Adobe PDF(2350Kb)  |  收藏  |  浏览/下载：214/0  |  提交时间：2020/04/13
Elasticity  Propagation  Biological tissues  Numerical models  Magnetic resonance imaging  Inverse problems  Elastography  forward problem  inverse problem  magnetic resonance elastography (MRE)  numerical simulation  
Spectral Clustering by Joint Spectral Embedding and Spectral Rotation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 1, 页码: 247-258
作者:  Pang, Yanwei;  Xie, Jin;  Nie, Feiping;  Li, Xuelong
Adobe PDF(2521Kb)  |  收藏  |  浏览/下载：214/0  |  提交时间：2020/03/06
Normalized cut (Ncut)  spectral clustering  spectral rotation  
Semisupervised Learning With Parameter-Free Similarity of Label and Side Information 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 2, 页码: 405–414
作者:  Zhang, Rui;  Nie, Feiping;  Li, Xuelong
Adobe PDF(1215Kb)  |  收藏  |  浏览/下载：227/1  |  提交时间：2019/03/20
Graph-based semisupervised learning (GSL)  quadratic trace ratio (QTR) problem  side information  soft label