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

An Improved U-Type Inter-Modular Biased-Flux Permanent Magnet Motor

Ehsan Farmahini Farahani - Mohammad Afrank - Mojtaba Mirsalim - Javad Shokrollahi Moghani

Manifold Learning-Assisted Physical Layer Key Generation for LoRaWAN: an Experimental Study

Hossein Aghajari - Hamed Bakhtiari babadegani, - Mehdi Naderi soorki - Sajad Ahmadinabi - Seyed mohsen Ahmadi

Impact of Particle Shape on Optical and Electrical Properties of Ultrathin Silicon Solar Cells

Sayyed Reza Mirnaziry - Mohammad Ali Shameli - Leila Yousefi

A novel approach for recommender systems based on query likelihood and sentiment analysis

Mohammadreza Soltaninezhad - Alireza Basiri

Modeling of Photo-thermoelectric Current Effects in Phase Change Material based Optical Nano Dipole Antenna Energy Transducer

Daniyal Khosh Maram - Seyed Asad Amirhosseini

Design and Simulation of Modified Salisbury Spatial Filter using Genetic Algorithm for Improving Optical Image Processing

Mohammadmahdi Modabberanbeh - Hassan Kaatuzian - Amir Nader Askarpour

Deep Learning based Electrical Load Forecasting using Temporal Fusion Transformer and Trend-Seasonal Decomposition

Ehsan Saadipour-Hanzaie - Mohammad-Amin Pourmoosavi - Turaj Amraee

An Integrated Technical Analysis and Machine Learning Trading Model for Noisy and Volatile Financial Markets

Arvin Esfandiari - Ali Doustmohammadi

یک روش موازی برای تخمین حالت سریع در سیستم های قدرت با ابعاد بزرگ با استفاده از تکنیک جداسازی گراف

بهنام کریم سرمدی - احمد صالحی دوبخشری

Wideband Multi-hole Coupler Using Ridge Gap Waveguide Technology

Ahmad Bakhtafrouz - Zahra Akhoondmahdi - Mohammad Matin Mashayekhi

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.5.3