An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images

An efficient privacy-preserving multilevel fusion-based feature engineering framework for UAV-enabled land cover classification using remote sensing images

Abstract In recent years, unmanned aerial vehicles (UAVs) have attracted more attention. UAVs have numerous manifest benefits over traditional manned aircraft, mainly regarding operator safety, operational expense, and the possibility of complex/hazardous environments such as land cover classificati...

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Bibliographic Details
Main Authors: S. Nagadevi, G. Abirami, R. Brindha, T. Prabhakara Rao, Gyanendra Prasad Joshi, Woong Cho
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Intrusion detection system
Unmanned aerial vehicles
Land cover classification
Fusion feature engineering
Salp swarm algorithm
Online Access:https://doi.org/10.1038/s41598-025-08930-2
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https://doi.org/10.1038/s41598-025-08930-2

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