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Multi-Prior Graph Autoencoder with Ranking-Based Band Selection for Hyperspectral Anomaly Detection 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 18
作者:  Wang, Nan;  Shi, Yuetian;  Li, Haiwei;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(4511Kb)  |  收藏  |  浏览/下载：51/0  |  提交时间：2023/10/27
hyperspectral anomaly detection  deep learning  band selection  autoencoder  
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：46/0  |  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：31/0  |  提交时间：2023/12/28
image processing  anomaly detection  hyperspectral image  deep learning  transfer learning  semi supervised learning  
Collaborative representation with multipurification processing and local salient weight for hyperspectral anomaly detection 期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2022, 卷号: 16, 期号: 3
作者:  Wang, Nan;  Shi, Yuetian;  Yang, Fanchao;  Zhang, Geng;  Li, Siyuan;  Liu, Xuebin
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载：123/0  |  提交时间：2022/11/11
anomaly detection  hyperspectral imagery  remote sensing  collaborative representation  
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  
Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 3, 页码: 1527-1537
作者:  Lu, Xiaoqiang;  Zhang, Wuxia;  Huang, Ju
Adobe PDF(1670Kb)  |  收藏  |  浏览/下载：169/2  |  提交时间：2020/03/23
Autoencoder (AE)  global reconstruction  hyperspectral imagery (HSI)  hyperspetral anomaly detection  local reconstruction  manifold learning  
An Anomaly Detection Algorithm for Hyperspectral Imagery based on Graph Laplacian 会议论文
AOPC 2020: OPTICAL SPECTROSCOPY AND IMAGING; AND BIOMEDICAL OPTICS, Beijing, PEOPLES R CHINA, 2020-11-30
作者:  Gan Yuquan;  Liu Ying;  Yang Fanchao
Adobe PDF(405Kb)  |  收藏  |  浏览/下载：114/0  |  提交时间：2021/07/16
Graph Laplacian  Weighted Matrix  Mahalanobis Distance  Anomaly Detection  Hyperspectral Images  
Similarity Constrained Convex Nonnegative Matrix Factorization for Hyperspectral Anomaly Detection 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 期号: 7, 页码: 4810-4822
作者:  Zhang, Wuxia;  Lu, Xiaoqiang;  Li, Xuelong
Adobe PDF(2142Kb)  |  收藏  |  浏览/下载：207/0  |  提交时间：2019/07/17
Convex nonnegative matrix factorization (CNMF)  hyperspectral anomaly detection  hyperspectral imagery  similarity constrained  
Hyperspectral Anomaly Detection via Sparse Dictionary Learning Method of Capped Norm 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 16132-16144
作者:  Yuan, Yuan;  Ma, Dandan;  Wang, Qi
Adobe PDF(7643Kb)  |  收藏  |  浏览/下载：248/0  |  提交时间：2019/03/14
Anomaly detection  hyperspectral images  sparse  dictionary learning  capped norm  
Hyperspectral Anomaly Detection via Discriminative Feature Learning with Multiple-Dictionary Sparse Representation 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 5
作者:  Ma, Dandan;  Yuan, Yuan;  Wang, Qi;  Wang, Qi (crabwq@gmail.com)
Adobe PDF(2761Kb)  |  收藏  |  浏览/下载：190/0  |  提交时间：2018/06/12
Anomaly Detection  Hyperspectral Image  Sparse Representation  Multiple Dictionaries  Feature Extraction  Clustering