Multiclass aerial image recognition using improved Black Widow Optimization with deep learning on unmanned aerial networks imaging

Multiclass aerial image recognition using improved Black Widow Optimization with deep learning on unmanned aerial networks imaging

Unmanned aerial vehicles (UAVs) have transformed industries by capturing high-resolution aerial images with specialized cameras and sensors. This technology is widely used in remote sensing (RS), environmental monitoring, disaster response, agriculture, and urban development. UAV-based aerial image...

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Bibliographic Details
Main Authors: Mahmoud Ragab, Bandar M. Alghamdi, Sami Saeed Binyamin, Sultan Algarni, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani
Format: Article
Language:English
Published: Elsevier 2025-11-01
Series:Ain Shams Engineering Journal
Subjects:
Unmanned aerial vehicle
Deep learning
Black Widow Optimization
Land Cover Classification
Remote Sensing Image
Online Access:http://www.sciencedirect.com/science/article/pii/S209044792500437X
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