کنفرانس مهندسی برق ایران

صفحه اصلی / سی و دومین کنفرانس بین المللی مهندسی برق

HyperSpectral Image Classification using a 3D Convolutional Mixer Block

نویسندگان :

Sara Dianat¹ Mehran Yazdi²

1- دانشگاه شیراز 2- دانشگاه شیراز

کلمات کلیدی :

HyperSpectral imaging،classification،deep learning،transformers

چکیده :

HyperSpectral Image (HSI) processing has many applications in agriculture, Earth Change Monitoring, etc. Classification of HSIs is an important stage in most applications and applying a precise method can improve the overall performance, transformers have shown outstanding performance in HSI classification. In this paper, we propose a novel classification algorithm using the convolutional mixer for HSI classification. Convolutional mixer is similar to transformers and is used to mix spatial and spectral information which are gathered separately by using depth wise convolution followed by a point wise convolution. We have used 3D convolutions in mixer block due to the 3D shape of hyperspectral cuboids to extract spectral and spatial features simultaneously, which have not been done before, to the best of our knowledge. Experimental results show that our method is superior to similar state of the art works in terms of overall accuracy and Kappa Coefficient.

لیست مقالات

لیست مقالات بایگانی شده

Terahertz transceiver front-end based on spatiotemporally modulated graphene-based structures

Mahsa Valizadeh - Leila Yousefi - MirFaez Miri

Reinforcement Learning based Joint Resource Allocation and User Fairness Optimization in mmWave-NOMA HetNets

Sima Sobhi-Givi - Mahdi Nouri - Mahrokh G. Shayesteh - Hashem Kalbkhani - Zhiguo Ding

Deep Learning-Based Imitation of Human Actions for Autonomous Pick-and-Place Tasks

Anoosheh Saadati - Mehdi Tale Masouleh - Ahmad Kalhor

E-RESO: An Enhanced Time Redundancy-based Error Detection Approach for Arithmetic Operations

Sina Shahoveisi - Athena Abdi

Joint User Association and UAV Location Optimization for Two-Tired Visible Light Communication Networks

Alireza Qazavi - Foroogh Sadat Tabataba - Mehdi Naderi Soorki

تخمین کانال V2X با استفاده از CDP وفقی

الهام نادری مقدم - محمدعلی سبقتی - حسن زارعیان

Joint Energy and Throughput Optimization in Energy Harvesting Cognitive Sensor Networks

Morteza Sharifi - Mahmood Mohassel Feghhi

A Two-Step Stochastic Market-Oriented Approach for Optimal Operation of Commercial VPPs under Uncertainty

Jalal Moradi - Hossein Shahinzadeh - Ahmad Hafezimagham - Gevork B. Gharehpetian - S.M. Muyeen - Mohamed Benbouzid

انتخاب آنتن در رادارهای چندورودی-چندخروجی با رویکرد یادگیری بانظارت در شبکه‌های عصبی کانولوشنی عمیق

مرضیه سادات میررفیع - ندا فرجی - ایاز قربانی

ارائه روش بهینه سازی نوین جهت جایابی بهینه تولیدات پراکنده (DG) در شبکه توزیع بمنظور کمینه کردن اثر فروافتادگی ولتاژ

پژمان هاشمیان - عبدالرضا علیرضاپوری

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0