中文版 | English

在结果中检索

OPT OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共8条，第1-8条 帮助

限定条件        
已选(0)清除 条数/页：   排序方式：
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：129/0  |  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  
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：169/1  |  提交时间：2021/03/29
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression  
SpectralSpatial 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：209/0  |  提交时间：2021/04/19
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression  
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：201/2  |  提交时间：2020/05/20
Hyperspectral unmixing  self-expression  spatial structure  subspace clustering  
A Joint Relationship Aware Neural Network for Single-Image 3D Human Pose Estimation 期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 页码: 4747-4758
作者:  Zheng, Xiangtao;  Chen, Xiumei;  Lu, Xiaoqiang
Adobe PDF(3896Kb)  |  收藏  |  浏览/下载：222/1  |  提交时间：2020/03/30
3D human pose estimation  joint relationship  dual attention module  
Low-rank representation for 3D hyperspectral images analysis from map perspective 期刊论文
SIGNAL PROCESSING, 2015, 卷号: 112, 页码: 27-33
作者:  Yuan, Yuan;  Fu, Min;  Lu, Xiaoqiang
Adobe PDF(1225Kb)  |  收藏  |  浏览/下载：276/3  |  提交时间：2015/03/18
3d Hyperspectral Data  Semantic Analysis  Segmentation  Markov Random Field (Mrf)  Low-rank Representation (Lrr)  Maximum a Posteriori (Map)  Remote Sensing  
Semi-supervised change detection method for multi-temporal hyperspectral images 期刊论文
NEUROCOMPUTING, 2015, 卷号: 148, 页码: 363-375
作者:  Yuan, Y;  Lv, HB;  Lu, XQ
Adobe PDF(8678Kb)  |  收藏  |  浏览/下载：181/4  |  提交时间：2015/11/20
Unsupervised Change Detection by Cross-Resolution Difference Learning 期刊论文
IEEE Transactions on Geoscience and Remote Sensing
作者:  Zheng, Xiangtao;  Chen, Xiumei;  Lu, Xiaoqiang;  Sun, Bangyong
Adobe PDF(7044Kb)  |  收藏  |  浏览/下载：130/1  |  提交时间：2021/06/22
Coupled deep neural network (CDNN)  crossresolution difference  mutual information distance  unsupervised change detection (CD)