跳到主要导航
跳到搜索
跳到主要内容
北京理工大学 首页
English
中文
首页
师资队伍
研究单位
科研成果
奖项
按专业知识、名称或附属进行搜索
查看 Scopus 资料
柯 钧
光电学院
h-index
440
引用
12
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
2005
2024
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(84)
指纹图谱
深入其中 Jun Ke 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
Analog Bandwidth
9%
Block Size
27%
Color Coding
9%
Component Analysis
22%
Compressed Sensing
54%
Compressive Sensing
48%
Conventional Method
10%
Convolutional Neural Network
9%
Deep Learning
36%
Design Matrix
13%
Detector Array
14%
Dictionary Learning
9%
Dynamic Range
11%
Experimental Result
28%
Fourier Transform
27%
Frame Object
18%
Frame Rate
13%
Graphics Processing Unit
18%
High Resolution
52%
Image Analysis
11%
Image Reconstruction
40%
Imaging Systems
100%
Joints (Structural Components)
18%
Laser Wavelength
9%
Light Level
36%
Light Source
12%
Limitations
10%
Linear Combination
15%
Low Resolution Image
20%
Mean Square Error
10%
Mean-Squared-Error
9%
Measurement Matrix
20%
Measurement Resolution
9%
Measurement Signal
11%
Measurement System
11%
Metrics
12%
Optical Design
18%
Orthogonal Matching Pursuit
13%
Principal Components
27%
Pursuit Algorithm
12%
Resolution Image
21%
Root-Mean-Squared Error
21%
Scattering Medium
13%
Sensing Method
13%
Signal Reconstruction
11%
Signal-to-Noise Ratio
14%
Simulation Result
10%
Spatial Resolution
28%
Super-Resolution Imaging
12%
Transmissions
9%
Computer Science
3D Convolutional Neural Networks
9%
Attention (Machine Learning)
18%
Collection Process
9%
Compressed Sensing
39%
Computational Photography
9%
Decomposition Method
13%
Deep Learning
25%
Deep Residual Network
18%
Detector Array
9%
Dictionary Learning
9%
Error Estimation
9%
Experimental Result
30%
Good Performance
9%
Image Capture
9%
Image Processing
10%
Image Quality
22%
Image Reconstruction
40%
Image Sensors
9%
Imaging Systems
58%
Learning Approach
9%
Linear Combination
11%
Low Resolution Image
19%
Lower Light Level
27%
Matrix Measurement
10%
Neural Network
18%
Noise-to-Signal Ratio
17%
Object Reconstruction
10%
Postprocessing
9%
Principal Components
9%
reconstruction algorithm
9%
Reconstruction Error
18%
Reconstruction Problem
9%
Residual Neural Network
11%
Root Mean Squared Error
12%
Sampling Ratio
9%
Scattering Medium
21%
Signal Reconstruction
9%
Spatial Correlation
9%
Spatial Resolution
31%
Spectral Imaging
9%
Spectral Signature
9%
Structured Light
9%
Subsequent Processing
9%
super resolution
36%
Super-Resolution Imaging
9%
Systems Performance
13%
Temporal Correlation
9%
Time Resolution
11%
Trained Network
9%
U-Net
9%
Physics
Atmospheric Turbulence
9%
Bioimaging
9%
Compressed Sensing
72%
Continuous Wave Laser
9%
Convolutional Neural Network
22%
Data Acquisition
21%
Data Compression
9%
Data Sampling
9%
Deep Learning
45%
Dynamic Range
18%
Gaussian Distribution
13%
High Resolution
47%
Holography
18%
Image Analysis
9%
Image Classification
6%
Image Reconstruction
13%
Image Restoration
6%
Laser Beams
14%
Laser Source
18%
Light Emitting Diode
9%
Line of Sight
27%
Linewidth
9%
Near Infrared
18%
Neural Network
22%
Noise Measurement
9%
Optical Imaging
9%
Optical Radar
18%
Optics
9%
Photocathode
9%
Pulsed Laser
13%
Random Noise
9%
Satellite Communication
9%
Sensor Network
9%
Shape Function
9%
Signal-to-Noise Ratio
18%
Spectral Band
9%