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查看 Scopus 资料
高 昆
光电学院
h-index
659
引用
13
H-指数
根据储存在 Pure 的刊物以及来自 Scopus 的引用文献数量计算
2004
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(160)
相似学者
(8)
指纹图谱
深入其中 Kun Gao 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
分类
加权
按字母排序
Engineering
Anchors
17%
Blur Identification
17%
Color Image
25%
Compressed Sensing
17%
Degradation Model
17%
Demonstrates
29%
Detection Algorithm
22%
Detection Performance
15%
Determines
20%
Energy Minimisation
19%
Experimental Result
54%
Field Programmable Gate Arrays
22%
Gaussian White Noise
20%
Gaussians
14%
High Resolution
27%
Hyperspectral Image
37%
Image Edge
22%
Image Fusion
59%
Image Processing
22%
Image Restoration
27%
Image Sequence
30%
Imaging Systems
39%
Initial Value
13%
Internals
15%
Maximum a Posteriori
21%
Motion Blur
17%
Multichannel
14%
Multiscale
17%
Mutual Information
17%
Nanoparticle
17%
Network Model
32%
Obtains
25%
Optical Systems
23%
Particle Swarm Optimization
17%
Point Spread Function
46%
Polarization Field
19%
Processing System
17%
Random Field
14%
Region of Interest
34%
Registration Parameter
14%
Regularization
42%
Search Method
13%
Selection Method
15%
Sensing Imagery
34%
Signal-to-Noise Ratio
14%
Single Image
17%
Star Point
18%
Target Tracking
100%
Tasks
13%
Transmissions
34%
Computer Science
Accurate Information
9%
Annotation
17%
Anomaly Detection
21%
Application System
11%
Approximation (Algorithm)
12%
Attention (Machine Learning)
11%
Band Selection
25%
Blind Deconvolution
10%
Chip Architecture
12%
Classifier
13%
Clustering Analysis
11%
Complex Background
18%
Compression Ratio
9%
Computer Vision
21%
Convolutional Neural Network
17%
Correction Method
21%
Detail Coefficient
17%
Detection Algorithm
21%
Detection Method
24%
Detection Performance
15%
Experimental Result
49%
Feature Extraction
17%
Generative Adversarial Networks
17%
Hyperspectral Image
71%
Image Compression
17%
Image Fusion
14%
image fusion algorithm
19%
Image Quality
17%
Image Restoration
12%
Image Segmentation
17%
Image Sequence
25%
local feature
12%
Markov Random Fields
10%
Mutual Information
17%
Object Detection
51%
Particle Swarm Optimization
17%
particle swarm optimization algorithm
17%
Perceptual Quality
14%
Point Spread Function
17%
Registration Parameter
19%
Regularization
25%
Remote Sensing Image
37%
remote sensing imagery
35%
Selection Method
11%
Single-Image Super Resolution
14%
Spatial Information
14%
super resolution
34%
Traditional Method
17%
Visible Image
21%
Visual Attention
28%
