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Lei Han
School of Mechatronical Engineering
h-index
63
Citations
4
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2005
2023
Research activity per year
Overview
Fingerprint
Network
Research output
(30)
Fingerprint
Dive into the research topics where Lei Han is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
Alphabetically
Engineering
Electrostatics
100%
Range Profile
83%
Target Recognition
83%
High Resolution
66%
Electric Field
43%
Medium Plane
41%
Electrostatic Field
40%
Automatic Target Recognition
36%
Nonuniform Electric Field
33%
Laser Beam
33%
Simulation Result
29%
Radar Target Recognition
22%
Directional
22%
Dielectrics
20%
Detection Technique
19%
Image Processing
16%
Rest Potential
16%
Radar Range
16%
Root Mean Square Error
16%
False Alarm
16%
Applied Electric Field
16%
Video Processing
16%
Target Area
16%
Ultrasonics
16%
Speckle Reduction
16%
Reverberation
16%
Signal Modulation
16%
Echo Signal
16%
Combined Method
16%
Noise Source
16%
Grayscale
16%
Gas Pipeline
16%
Computational Complexity
16%
Noise Ratio
16%
Obtains
16%
Template Matching
16%
Signal Detection
16%
Character Recognition
16%
Imaging Systems
16%
Test Result
16%
Position Information
16%
Error Detection
16%
Active Channel
16%
Rationality
16%
Target Tracking
16%
Classification Algorithm
16%
Recognition Problem
13%
Ground Target
12%
Field Distribution
12%
Electric Potential
11%
Computer Science
Target Recognition
55%
Range Resolution
50%
Automatic Target Recognition
35%
Recognition Algorithm
27%
Conditional Random Field
16%
Field Distribution
16%
Imaging Systems
16%
Research System
16%
Hardware Platform
16%
Processing Board
16%
Position Information
16%
Generalization Performance
16%
Video Processing
16%
Character Recognition
16%
de-noising
16%
Base Parameter
16%
Human Interaction
16%
Computational Complexity
16%
Linear Discriminant Analysis
16%
Modern Warfare
16%
Simulation Test
16%
Template Matching
16%
Image Processing
16%
High Reliability
16%
Common Sense
16%
Classification Algorithm
16%
Recognition Performance
16%
Feature Extraction
13%
Recognition Problem
11%
Hyperplanes
11%
Recognition Accuracy
10%
Temporal Feature
8%
Statistical Model
8%
K-Means Clustering
8%
Domain Knowledge
8%
History Information
8%
Points of Interest
8%
Primitive Action
8%
Interest Point
8%
Production Rule
8%
Indoor Scenario
8%
Support Vector
5%
Field Research
5%
Future Development
5%
Recognition Result
5%
Target Category
5%
