OPT OpenIR

浏览/检索结果: 共206条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Identity Feature Disentanglement for Visible-Infrared Person Re-Identification 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 卷号: 19, 期号: 6
作者:  Chen, Xiumei;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(4309Kb)  |  收藏  |  浏览/下载:65/0  |  提交时间:2023/09/06
Visible-infrared person re-identification  cross-modal  deep learning  feature disentanglement  
Nested multi-scale transform fusion model: The response evaluation of chemoradiotherapy for patients with lung tumors 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2023, 卷号: 232
作者:  Zhou, Tao;  Liu, Shan;  Lu, Huiling;  Bai, Jing;  Zhi, Lijia;  Shi, Qiu
Adobe PDF(4419Kb)  |  收藏  |  浏览/下载:66/0  |  提交时间:2023/04/14
AS-REC  LATLRR  Lung tumors  NSCT  PET  CT fusion  
Joint Texture Search and Histogram Redistribution for Hyperspectral Image Quality Improvement 期刊论文
SENSORS, 2023, 卷号: 23, 期号: 5
作者:  Hu, Bingliang;  Chen, Junyu;  Wang, Yihao;  Li, Haiwei;  Zhang, Geng
Adobe PDF(8360Kb)  |  收藏  |  浏览/下载:65/0  |  提交时间:2023/04/04
4D block aggregation  BM4D  histogram redistribution  hyperspectral quality enhancement  
Component spectra extraction and quantitative analysis for preservative mixtures by combining terahertz spectroscopy and machine learning 期刊论文
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 2022, 卷号: 271
作者:  Yan, Hui;  Fan, Wenhui;  Chen, Xu;  Wang, Hanqi;  Qin, Chong;  Jiang, Xiaoqiang
Adobe PDF(2170Kb)  |  收藏  |  浏览/下载:186/1  |  提交时间:2022/02/09
Preservative mixtures  Terahertz spectroscopy  Machine learning  SVD  NMF  SVR  
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:120/0  |  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:215/0  |  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)  
Context and Difference Enhancement Network for Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2022, 卷号: 15
作者:  Song, Dawei;  Dong, Yongsheng;  Li, Xuelong
Adobe PDF(5123Kb)  |  收藏  |  浏览/下载:135/0  |  提交时间:2022/12/02
Transformers  Feature extraction  Context modeling  Task analysis  Remote sensing  Data mining  Semantics  Change detection (CD)  content difference enhancement  global context  remote sensing  
Spatial weighted kernel spectral angle constraint method for hyperspectral change detection 期刊论文
Journal of Applied Remote Sensing, 2022, 卷号: 16, 期号: 1
作者:  Liu, Song;  Song, Liyao;  Li, Haiwei;  Chen, Junyu;  Zhang, Geng;  Hu, Bingliang;  Wang, Shuang;  Li, Siyuan
Adobe PDF(3507Kb)  |  收藏  |  浏览/下载:101/1  |  提交时间:2022/05/07
change detection  hyperspectral image  kernel  spectral angle  
Hyperspectral anomaly detection via super-resolution reconstruction with an attention mechanism 期刊论文
Applied Optics, 2021, 卷号: 60, 期号: 26, 页码: 8109-8119
作者:  Chong, Dan;  Hu, Bingliang;  Gao, Hao;  Gao, Xiaohui
Adobe PDF(19066Kb)  |  收藏  |  浏览/下载:130/3  |  提交时间:2021/10/08
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:154/0  |  提交时间:2021/07/12
Bio-inspired  center-bias prior  contrast features  densely connected  reduction-attention  semantic features  visual attention prediction (VAP)