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Prior-based collaborative representation with global adaptive weight for hyperspectral anomaly detection 期刊论文
Journal of Applied Remote Sensing, 2023, 卷号: 17, 期号: 3
作者:  Wang, Nan;  Shi, Yuetian;  Cheng, Yinzhu;  Yang, Fanchao;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(3120Kb)  |  收藏  |  浏览/下载：51/0  |  提交时间：2023/10/30
anomaly detection  hyperspectral imagery  remote sensing  collaborative representation  
A Restricted Embedding Transfer Model for Hyperspectral Anomaly Detection 会议论文
2023 4th International Conference on Big Data and Artificial Intelligence and Software Engineering, ICBASE 2023, Hybrid, Nanjing, China, 2023-08-25
作者:  Shi, Chenliang;  Qiu, Shi
Adobe PDF(5842Kb)  |  收藏  |  浏览/下载：37/0  |  提交时间：2023/12/28
image processing  anomaly detection  hyperspectral image  deep learning  transfer learning  semi supervised learning  
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：121/0  |  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：118/0  |  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：208/0  |  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)  
Bio-Inspired Representation Learning for Visual Attention Prediction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 7, 页码: 3562-3575
作者:  Yuan, Yuan;  Ning, Hailong;  Lu, Xiaoqiang
Adobe PDF(2877Kb)  |  收藏  |  浏览/下载：152/0  |  提交时间：2021/07/12
Bio-inspired  center-bias prior  contrast features  densely connected  reduction-attention  semantic features  visual attention prediction (VAP)  
Accelerating patch-based low-rank image restoration using kd-forest and Lanczos approximation 期刊论文
Information Sciences, 2021, 卷号: 556, 页码: 177-193
作者:  Guo, Qiang;  Zhang, Yongxia;  Qiu, Shi;  Zhang, Caiming
Adobe PDF(1839Kb)  |  收藏  |  浏览/下载：140/0  |  提交时间：2021/02/02
Image restoration  Low-rank approximation  Singular value decomposition  Kd-tree  Lanczos bidiagonalization  
Sparse constrained low tensor rank representation framework for hyperspectral unmixing 期刊论文
Remote Sensing, 2021, 卷号: 13, 期号: 8
作者:  Dong, Le;  Yuan, Yuan
Adobe PDF(6006Kb)  |  收藏  |  浏览/下载：132/0  |  提交时间：2021/05/07
hyperspectral unmixing  low tensor rank  non-negative tensor factorization  sparse constraint  
Person Reidentification via Unsupervised Cross-View Metric Learning 期刊论文
IEEE Transactions on Cybernetics, 2021, 卷号: 51, 期号: 4, 页码: 1849-1859
作者:  Feng, Yachuang;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(1240Kb)  |  收藏  |  浏览/下载：147/1  |  提交时间：2021/04/13
Metric learning  person reidentification (Re-ID)  unsupervised learning  view-specific mapping  
Spectral-Spatial Joint Sparse NMF for Hyperspectral Unmixing 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2021, 卷号: 59, 期号: 3, 页码: 2391-2402
作者:  Dong, Le;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(2358Kb)  |  收藏  |  浏览/下载：158/1  |  提交时间：2021/03/29
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression