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查看 Scopus 资料
韩 磊
机电学院
h-index
67
引用
4
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
2023
每年的科研成果
概览
指纹图谱
合作网络
科研成果
(31)
指纹图谱
深入其中 Lei Han 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
Active Channel
16%
Applied Electric Field
16%
Automatic Target Recognition
36%
Character Recognition
16%
Classification Algorithm
16%
Combined Method
16%
Computational Complexity
16%
Detection Technique
19%
Dielectrics
20%
Directional
22%
Echo Signal
16%
Electric Field
43%
Electrostatic Field
40%
Electrostatics
100%
Error Detection
16%
False Alarm
16%
Field Distribution
12%
Gas Pipeline
16%
Grayscale
16%
Ground Target
12%
High Resolution
66%
Human Action
16%
Image Processing
16%
Imaging Systems
16%
Laser Beam
33%
Medium Plane
41%
Noise Ratio
16%
Noise Source
16%
Nonuniform Electric Field
33%
Obtains
16%
Position Information
16%
Radar Range
16%
Radar Target Recognition
22%
Range Profile
83%
Rationality
16%
Recognition Problem
13%
Rest Potential
16%
Reverberation
16%
Root Mean Square Error
16%
Signal Detection
16%
Signal Modulation
16%
Simulation Result
29%
Speckle Reduction
16%
Target Area
16%
Target Recognition
83%
Target Tracking
16%
Template Matching
16%
Test Result
16%
Ultrasonics
16%
Video Processing
16%
Computer Science
Automatic Target Recognition
35%
Base Parameter
16%
Character Recognition
16%
Classification Algorithm
16%
Classifier
5%
Common Sense
16%
Computational Complexity
16%
Conditional Random Field
22%
de-noising
16%
Domain Knowledge
8%
Feature Extraction
19%
Field Distribution
16%
Field Research
5%
Future Development
5%
Generalization Performance
16%
Hardware Platform
16%
High Reliability
16%
History Information
8%
human action recognition
16%
Human Interaction
16%
Hyperplanes
11%
Image Processing
16%
Imaging Systems
16%
Indoor Scenario
8%
Interest Point
8%
K-Means Clustering
8%
Latent Variable Model
5%
Linear Discriminant Analysis
16%
Modern Warfare
16%
Motion Pattern
16%
Points of Interest
8%
Position Information
16%
Primitive Action
8%
Processing Board
16%
Production Rule
8%
Range Resolution
50%
Recognition Accuracy
10%
Recognition Algorithm
27%
Recognition Performance
16%
Recognition Problem
11%
Recognition Result
5%
Research System
16%
Simulation Test
16%
Statistical Model
8%
Support Vector
5%
Target Category
5%
Target Recognition
55%
Template Matching
16%
Temporal Feature
8%
Video Processing
16%
