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Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8246-8257
作者:  Mou, Lichao;  Lu, Xiaoqiang;  Li, Xuelong;  Zhu, Xiao Xiang
Adobe PDF(10395Kb)  |  收藏  |  浏览/下载：220/0  |  提交时间：2020/12/21
Hyperspectral imaging  Convolution  Task analysis  Recurrent neural networks  Semisupervised learning  Support vector machines  Graph convolutional network (GCN)  hyperspectral image classification  nonlocal graph  semisupervised learning  
Prediction of end-of-season tuber yield and tuber set in potatoes using in-season uav-based hyperspectral imagery and machine learning 期刊论文
Sensors (Switzerland), 2020, 卷号: 20, 期号: 18, 页码: 1-13
作者:  Sun, Chen;  Feng, Luwei;  Zhang, Zhou;  Ma, Yuchi;  Crosby, Trevor;  Naber, Mack;  Wang, Yi
Adobe PDF(2706Kb)  |  收藏  |  浏览/下载：142/0  |  提交时间：2020/10/26
hyperspectral imaging  machine learning  tuber yield  tuber set  unmanned aerial vehicles  
Hyperspectral imaging and analysis for sketch painting 期刊论文
Optik, 2020, 卷号: 212
作者:  Wu, Yinhua;  Wang, Pengchong;  Wang, Shuang;  Liu, Jun;  Gao, Ming;  Wei, Ruyi;  Gao, Xiaohui
Adobe PDF(1976Kb)  |  收藏  |  浏览/下载：186/4  |  提交时间：2020/05/14
Sketch painting  Scientific analysis  Hyperspectral imaging  Spectral characteristic  Painting style  
Modified eigenvector-based feature extraction for hyperspectral image classification using limited samples 期刊论文
SIGNAL IMAGE AND VIDEO PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 711-717
作者:  Wang, Wenning;  Mou, Xuanqin;  Liu, Xuebin
Adobe PDF(1213Kb)  |  收藏  |  浏览/下载：155/1  |  提交时间：2019/12/11
Eigenvector spectra  Feature extraction  Limited training sample classification  Hyperspectral image  
Subspace Clustering Constrained Sparse NMF for Hyperspectral Unmixing 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 5, 页码: 3007-3019
作者:  Lu, Xiaoqiang;  Dong, Le;  Yuan, Yuan
Adobe PDF(2036Kb)  |  收藏  |  浏览/下载：182/2  |  提交时间：2020/05/20
Hyperspectral unmixing  self-expression  spatial structure  subspace clustering  
Spectral-Spatial Attention Network for Hyperspectral Image Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 5, 页码: 3232-3245
作者:  Sun, Hao;  Zheng, Xiangtao;  Lu, Xiaoqiang;  Wu, Siyuan
Adobe PDF(3278Kb)  |  收藏  |  浏览/下载：338/3  |  提交时间：2020/05/20
Attention  convolutional neural network (CNN)  hyperspectral image (HSI) classification  spectral–spatial feature extraction  
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：168/2  |  提交时间：2020/03/23
Autoencoder (AE)  global reconstruction  hyperspectral imagery (HSI)  hyperspetral anomaly detection  local reconstruction  manifold learning  
Unregistered Hyperspectral and Multispectral Image Fusion with Synchronous Nonnegative Matrix Factorization 会议论文
Pattern Recognition and Computer Vision - 3rd Chinese Conference, PRCV 2020, Proceedings, Nanjing, China, 2020-10-16
作者:  Chen, Wenjing;  Lu, Xiaoqiang
Adobe PDF(4080Kb)  |  收藏  |  浏览/下载：112/0  |  提交时间：2020/11/09
Image fusion  Nonnegative matrix factorization  Hyperspectral image  Multispectral image  
Overview of spaceborne hyperspectral imagers and the research progress in bathymetric maps 会议论文
Second Target Recognition and Artificial Intelligence Summit Forum, Shenyang, China, 2019-08-28
作者:  Jia, Xinyin;  Li, Siyuan;  Ke, Shanliang;  Hu, Bingliang
Adobe PDF(506Kb)  |  收藏  |  浏览/下载：268/2  |  提交时间：2020/03/23
Bathymetry maps  satellite-borne hyperspectral imagers  LiDAR  coastal zone  
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