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Kun Gao
School of Optics and Photonics
h-index
643
Citations
13
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2004
2024
Research activity per year
Overview
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Research output
(160)
Similar Profiles
(8)
Fingerprint
Dive into the research topics where Kun Gao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
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Engineering
Target Tracking
100%
Image Fusion
59%
Experimental Result
54%
Point Spread Function
46%
Regularization
42%
Imaging Systems
39%
Hyperspectral Image
37%
Sensing Imagery
34%
Region of Interest
34%
Transmissions
34%
Network Model
32%
Image Sequence
30%
Demonstrates
29%
Image Restoration
27%
High Resolution
27%
Color Image
25%
Obtains
25%
Optical Systems
23%
Field Programmable Gate Arrays
22%
Detection Algorithm
22%
Image Edge
22%
Image Processing
22%
Maximum a Posteriori
21%
Determines
20%
Gaussian White Noise
20%
Energy Minimisation
19%
Polarization Field
19%
Star Point
18%
Anchors
17%
Motion Blur
17%
Single Image
17%
Multiscale
17%
Degradation Model
17%
Processing System
17%
Nanoparticle
17%
Mutual Information
17%
Particle Swarm Optimization
17%
Compressed Sensing
17%
Blur Identification
17%
Internals
15%
Detection Performance
15%
Selection Method
15%
Signal-to-Noise Ratio
14%
Random Field
14%
Gaussians
14%
Multichannel
14%
Registration Parameter
14%
Tasks
13%
Initial Value
13%
Search Method
13%
Computer Science
Hyperspectral Image
71%
Object Detection
51%
Experimental Result
49%
Remote Sensing Image
37%
remote sensing imagery
35%
super resolution
34%
Visual Attention
28%
Image Sequence
25%
Band Selection
25%
Regularization
25%
Detection Method
24%
Visible Image
21%
Detection Algorithm
21%
Anomaly Detection
21%
Computer Vision
21%
Correction Method
21%
Registration Parameter
19%
image fusion algorithm
19%
Complex Background
18%
Traditional Method
17%
Feature Extraction
17%
Image Quality
17%
Image Compression
17%
Convolutional Neural Network
17%
Point Spread Function
17%
Generative Adversarial Networks
17%
Annotation
17%
Particle Swarm Optimization
17%
particle swarm optimization algorithm
17%
Mutual Information
17%
Detail Coefficient
17%
Image Segmentation
17%
Detection Performance
15%
Perceptual Quality
14%
Spatial Information
14%
Image Fusion
14%
Single-Image Super Resolution
14%
Classifier
13%
Chip Architecture
12%
Approximation (Algorithm)
12%
local feature
12%
Image Restoration
12%
Selection Method
11%
Attention (Machine Learning)
11%
Application System
11%
Clustering Analysis
11%
Blind Deconvolution
10%
Markov Random Fields
10%
Compression Ratio
9%
Accurate Information
9%
