An effective weight initialization method for deep learning: Application to satellite image classification-Reference-Cited by-同舟云学术

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An effective weight initialization method for deep learning: Application to satellite image classification

Published:2024-11 Issue: Volume:254 Page:124344
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Boulila Wadii^ORCID,Alshanqiti Eman^ORCID,Alzahem Ayyub^ORCID,Koubaa Anis^ORCID,Mlaiki Nabil^ORCID

Funder

Prince Sultan University

Publisher

Elsevier BV

Reference37 articles.

1. Satellite image classification methods and techniques: A review;Abburu;International Journal of Computer Applications,2015

2. Improving satellite image classification accuracy using GAN-based data augmentation and vision transformers;Alzahem;Earth Science Informatics,2023

3. Randomly initialized convolutional neural network for the recognition of COVID-19 using X-ray images;Ben Atitallah;International Journal of Imaging Systems and Technology,2022

4. A top-down approach for semantic segmentation of big remote sensing images;Boulila;Earth Science Informatics,2019

5. Weight initialization techniques for deep learning algorithms in remote sensing: Recent trends and future perspectives;Boulila;Advances on Smart and Soft Computing,2022

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