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29条，第1-10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：114/0  |  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 image super-resolution with self-supervised spectral-spatial residual network 期刊论文
Remote Sensing, 2021, 卷号: 13, 期号: 7
作者:  Chen, Wenjing;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(2974Kb)  |  收藏  |  浏览/下载：170/0  |  提交时间：2021/04/21
hyperspectral image super-resolution  data fusion  spectral-spatial residual network  multispectral image  self-supervised training  
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：155/1  |  提交时间：2021/03/29
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression  
Property-Constrained Dual Learning for Video Summarization 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 10, 页码: 3989-4000
作者:  Zhao, Bin;  Li, Xuelong;  Lu, Xiaoqiang
Adobe PDF(2537Kb)  |  收藏  |  浏览/下载：172/0  |  提交时间：2020/11/02
Generators  Task analysis  Recurrent neural networks  Machine learning  Training  Semantics  Learning systems  Dual learning  property model  recurrent neural network (RNN)  video summarization  
Siamese Dilated Inception Hashing With Intra-Group Correlation Enhancement for Image Retrieval 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 8, 页码: 3032-3046
作者:  Lu, Xiaoqiang;  Chen, Yaxiong;  Li, Xuelong
Adobe PDF(3109Kb)  |  收藏  |  浏览/下载：225/0  |  提交时间：2020/09/04
Correlation  Hash functions  Semantics  Training  Approximation algorithms  Convolution  Image retrieval  Category-level semantics  deep hashing  image retrieval  multi-scale contextual information  
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：183/2  |  提交时间：2020/05/20
Hyperspectral unmixing  self-expression  spatial structure  subspace clustering  
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  
A deep hashing technique for remote sensing image-sound retrieval 期刊论文
Remote Sensing, 2020, 卷号: 12, 期号: 1
作者:  Chen, Yaxiong;  Lu, Xiaoqiang
Adobe PDF(4010Kb)  |  收藏  |  浏览/下载：162/3  |  提交时间：2020/03/12
cross-modal retrieval  deep hash codes  semantic similarity relationships  remote sensing  
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  
Hierarchical Recurrent Neural Hashing for Image Retrieval With Hierarchical Convolutional Features 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 1, 页码: 106-120
作者:  Lu, Xiaoqiang;  Chen, Yaxiong;  Li, Xuelong
Adobe PDF(2781Kb)  |  收藏  |  浏览/下载：232/1  |  提交时间：2017/12/25
Image Retrieval  Supervised Hashing  Hierarchical Convolutional Features  Hierarchical Rnn