Real-time drone detection framework based on advanced texture feature extraction and pattern recognition model using GUI

Published 2024-12-14 From Neural computing & applications (Print) 5 authors

Attribution

This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and Neural computing & applications (Print).

Abstract

Verbatim from Semantic Scholar. Not paraphrased, not summarized.

A groundbreaking framework that synergizes advanced integration technique based on texture feature extraction and pattern recognition techniques for real-time drone detection to increase accuracy to detect drones in different conditions such as bad weather and low resolution is proffer.

Authors

Noha Hussen
M. Salem
Ali I. Eldesouky
Noha A. Sakr
Sally Elghamrawy

Keywords

Computer Science
Engineering

Citation: Noha Hussen, M. Salem, Ali I. Eldesouky , et al. (2024). Real-time drone detection framework based on advanced texture feature extraction and pattern recognition model using GUI. Neural computing & applications (Print). Semantic Scholar ID aaa5e468771c474601a82c51858d3eb78be34174. https://doi.org/10.1007/s00521-024-10440-7 ↗