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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [5]
西安光学精密机械研究... [2]
采集方式
OAI收割 [7]
内容类型
期刊论文 [7]
发表日期
2023 [1]
2022 [1]
2021 [2]
2019 [1]
2018 [2]
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Nested multi-scale transform fusion model: The response evaluation of chemoradiotherapy for patients with lung tumors
期刊论文
OAI收割
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2023, 卷号: 232
作者:
Zhou, Tao
;
Liu, Shan
;
Lu, Huiling
;
Bai, Jing
;
Zhi, Lijia
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/04/14
AS-REC
LATLRR
Lung tumors
NSCT
PET
CT fusion
Infrared and Visible Image Fusion Based on Co-Occurrence Analysis Shearlet Transform
期刊论文
OAI收割
Remote Sensing, 2022, 卷号: 14, 期号: 2, 页码: 21
作者:
B. Qi
;
L. X. Jin
;
G. N. Li
;
Y. Zhang
;
Q. Li
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/06/14
Multi-exposure fusion of gray images under low illumination based on low-rank decomposition
期刊论文
OAI收割
Remote Sensing, 2021, 卷号: 13, 期号: 2, 页码: 1-21
作者:
T. Nie
;
L. Huang
;
H. Liu
;
X. Li
;
Y. Zhao
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/06/13
Improving the Performance of Infrared and Visible Image Fusion Based on Latent Low-Rank Representation Nested with Rolling Guided Image Filtering
期刊论文
OAI收割
IEEE Access, 2021, 卷号: 9, 页码: 91462-91475
作者:
C. Gao
;
C. Song
;
Y. Zhang
;
D. Qi and Y. Yu
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/06/13
An Adaptive Two-Scale Image Fusion of visible and Infrared Images
期刊论文
OAI收割
Ieee Access, 2019, 卷号: 7, 页码: 56341-56352
作者:
X.Y.Han
;
T.Lv
;
X.Y.Song
;
T.Nie
;
H.D.Liang
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/08/24
Fusion global-local-topology particle swarm optimization (FGLT-PSO),guided filter,image fusion
Approximate Low-Rank Projection Learning for Feature Extraction
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5228-5241
作者:
Fang, Xiaozhao
;
Han, Na
;
Wu, Jigang
;
Xu, Yong
;
Yang, Jian
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2018/11/21
Computer Vision
Feature Extraction
Low-rank Representation (Lrr)
Pattern Recognition
Ridge Regression
General fusion method for infrared and visual images via latent low-rank representation and local non-subsampled shearlet transform
期刊论文
OAI收割
Infrared Physics & Technology, 2018, 卷号: 92, 页码: 68-77
作者:
Cheng, B. Y.
;
Jin, L. X.
;
Li, G. N.
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/09/17
Latent low-rank representation
Local non-subsampled shearlet transform
Salient features
Image fusion
visible-light
contourlet transform
feature-extraction
nsct domain
algorithm
pcnn
nsst
Instruments & Instrumentation
Optics
Physics