0% Complete
صفحه اصلی
/
سی و یکمین کنفرانس بین المللی مهندسی برق
Kernel-Based Band Selection for Hyperspectral Image Classification
نویسندگان :
Mehdi Kamandar
1
1- دانشگاه تحصیلات تکمیلی صنعتی و فناوری پیشرفته
کلمات کلیدی :
Hyperspectral image classification،support vector machine،anisotropic Gaussian kernel،kernel-based band selection،l1 regularization،minibatch proximal gradient ascent
چکیده :
Hyperspectral image classification is a challenging task due to problems such as complex nonlinear structure of data, noisy and redundant spectral bands, and small-sample-size problem. The nonlinear support vector machine (SVM) is an excellent classifier to tackle these challenges. Selecting the most appropriate kernel and tuning its parameters for the data has a vital role in classification performance of the SVM. In this paper, an anisotropic Gaussian kernel is used. Anisotropic Gaussian kernel has a special scaling factor for each band. The scaling factors are tuned by maximizing a classifier independent separability measure with l1 regularization. The separability measure uses within-class and between-class dispersion information in the feature space. Some of the scaling factors will be zero after separability maximization due to l1 regularization, that is equivalent to removing corresponding bands from classification processes. Therefore, an embedded band selection is done to remove the destructive effect of irrelevant and redundant bands. The results show on average 5% classification accuracy improvement compared to an isotropic Gaussian kernel for classifying Indiana Pin Site hyperspectral image.
لیست مقالات
لیست مقالات بایگانی شده
Ultrahigh Step-Up Non-Isolated DC-DC Converter Based on Quadratic Converter without Coupled Inductor
Sajad Rostami - Vahid Abbasi - Masoumeh Parastesh
بررسی و مدلسازی اثرات نویز فاز پالس ساعت بر عملکرد تقویت کننده صوتی کلاس D سمعک ها
محمد مهدی احمدی - محدثه امیریان چایجان
GAN-Driven Image Generation for Metamaterial Absorbers Using Mean and Variance Encoding
Atefe Shahsavaripour - Mohammad Hossein Badiei - Leila Yousefi - Ahmad Kalhor
A New Optimal Design of a Solar Power Plant On The Rooftop of Bovisa Train Station in Milan
Omid Nasirkhani - Mohsen Tamaddon
Establishment of a Virtual Power Plant in Grid for Maximizing Producers' Profits and Minimizing Pollutant Emissions and Investment Costs
Amir Hossein Gholami - Amir Abulfazl Suratgar - Mohammad Bagher Menhaj - Mohammad Reza Hesamzadeh
Three-Leg AC/AC Converters :A Comprehensive Practical Overview
MohammadHadi Mokhtari - Seyed Mohsen Mortazavi - Mohammad Reza Zolghadri
تشخیص حالت عادی و غیرعادی شبکه برق هوشمند با استفاده از شبکه عصبی مصنوعی
محمد گنج خانی - علی عباسپورطهرانی فرد - سجاد فتاحیان دهکردی - محمد غلامی
The Effect of Cavity Length on Two-State Quantum Dot Laser Performance
Gholamreza Babaabasi - Mohammad Mohsen Sheikhey - Sara Alaei
Numerical investigation of gain switching in Fano semiconductor lasers
Arash Hodaie - Hassan Kaatuzian - Aref Rasoulzadeh Zali
Improving Spiking Neural Network Performance Using Astrocyte Feedback for Farsi Digit Recognition
Malihe Nazari - Fariba Bahrami - Mohammad Javad Yazdanpanah
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2