A Hybrid Approach for Target Discrimination in Remote Sensing: Combining YOLO and CNN-Based Classifiers

A Hybrid Approach for Target Discrimination in Remote Sensing: Combining YOLO and CNN-Based Classifiers

With the increase in image production in recent years, there has been significant progress in the application of deep learning algorithms across various domains. Convolutional neural networks (CNNs) have been increasingly employed in remote sensing, covering all stages of target discrimination acco...

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Bibliographic Details
Main Authors: Jamesson Lira Silva, Fabiano da Cruz Nogueira, Douglas Damião de Carvalho, Elcio Hideiti Shiguemori, Angelo Passaro
Format: Article
Language:English
Published: Instituto de Aeronáutica e Espaço (IAE) 2024-12-01
Series:Journal of Aerospace Technology and Management
Subjects:
Object recognition
Remote sensing
Neural networks
Machine learning
Online Access:https://jatm.com.br/jatm/article/view/1353
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