0% Complete
صفحه اصلی
/
سی و دومین کنفرانس بین المللی مهندسی برق
Classification of automotive radar targets using Gray Level Co-occurrence Matrix
نویسندگان :
Amin AghatabarRoodbary
1
MohammadHassan Bastani
2
Fereidoon Behnia
3
1- دانشگاه صنعتی شریف
2- دانشگاه صنعتی شریف
3- دانشگاه صنعتی شریف
کلمات کلیدی :
Radar target classification،automotive radars،feature extraction،micro-Doppler signature،gray level co-occurrence matrix
چکیده :
Classification of targets has always been one of the most important topics in the field of radar. This issue is highlighted in the field of automotive radars, as the targets of interest are generally related to human life such as pedestrians, cars, cyclists, motorcyclists, traffic signs, etc. The reason for the need to classify targets is the difference in the decision-making process regarding each category of targets. The main challenge is to extract unique features from radar return signals to increase classification accuracy. Signatures such as Radar Cross Section(RCS), micro-Doppler, range-Doppler, etc. are used to extract features. One of the topics of interest is feature extraction from the micro-Doppler signature of targets, as these images have unique features that can be useful in classifying these targets. In this paper, the Gray Level Co-occurrence Matrix (GLCM), a powerful method for image texture analysis, is used for extracting the spatial features of gray images for multi-class classification problems. Moreover, the KNN(K-Nearest Neighbor) and ensemble learner with 200 weak learners are used to evaluate classification accuracy. Simulation results show that the proposed features extracted from GLCM of the micro-Doppler signatures of these six classes of targets have good classification performance and can discriminate the targets with about 90 percent of accuracy for Signal To Noise Ratio(SNR) 30dB.
لیست مقالات
لیست مقالات بایگانی شده
Stability Analysis of Distributed-Order Systems: a Lyapunov Scheme
Vahid Badri
ساخت و مشخصه یابی حسگر گاز QCM با پوشش نیترات لانتانیوم برای آشکارسازی بخار اسید هیدروفلوئوریک
زهرا خوش بین - وحید غفاری نیا
Improving the Performance and Robustness of Non-Minimum Phase Systems Using Integrated Feedforward-IMC Technique
Saeedreza Tofighi
Design Investigation of a Broadband Polarization Rotator Using SIW Technology with T-Shaped Slots
Amin Azimi - Mohammad.H Neshati
Machine Learning-based Fundamental Stock Prediction Using Companies’ Financial Reports
Hossein Rezaei - Kamran Abdi - Mohsen Hooshmand
Forged Channel: A Breakthrough Approach for Accurate Parkinson's Disease Classification using Leave-One-Subject-Out Cross-Validation
SeyedAmirReza Hamidi - Kamal Mohamed-Pour - Mohammad Yousefi
A Highly-Linear Wideband Differential Low-Noise Amplifier Using Derivative Superposition Technique
Abolfazl Rajaiyan - Mehdi Saberi
بررسی و تحلیل تقابل تلفات و پروفیل ولتاژ به کمک الگوریتم ژنتیک چند هدفه در سیستم های قدرت در حضور سیستم های انتقال قدرت انعطاف پذیر
سجاد احمدنیا - حبیب رجبی مشهدی
مدل سازی دینامیکی ژنراتور سنکرون آهنربای دائم (PMSG) و تحلیل رفتار آن در شرایط عیب اتصال حلقه استاتور
مجید محرمی - منصور اوجاقی
Average Secrecy Capacity Performance Analysis for SWIPT-Based SIMO Underlay Cognitive Radio
Mohammad Javad Saber1 - Seyedeh Maryam Mazloum - Seyed Mohammad Sajad Sadough
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2