Early versus Late RGB-Infrared Fusion for Counter-UAV Detection: A Comparative Study

Alberto De Zan, Denis Tavaris, Gian Luca Foresti, Ivan Scagnetto · 2026 · arXiv

DOI: 10.48550/arXiv.2610.29828 · open-access PDF

Arabic

يقدم هذا الكتاب استراتيجية جديدة لتحديد UAV من خلال تجميع مرئية (RGB) ومرئية (IR) ، من أجل تحسين دقة وواقعية في بيئات صعبة ومناخات الطقس. في هذا البحث، تم دراسة وتطبيق طريقتين متناقضتين: الأول يتعلق بتجميع مستويات الصورة (في وقت مبكر) ، والذي يجمع بين اثنين من الألوان المختلفة إلى صورة واحدة التي يتم تطبيقها على واحد.

Machine translation (Meta M2M100); the English original follows.

Abstract

This paper presents a novel strategy for UAV detection through visible (RGB) and infrared (IR) fusion, in order to improve accuracy and precision in harsh environments and weather conditions. In this research, two opposite approaches have been studied and implemented: the first concerns image-level (early) fusion, which merges two different spectra into a single image to which one detector is applied. On the other hand, the second approach, called decision-level (late) fusion, focuses on blending together the output bounding boxes of two different detection pipelines, aiming to create a common

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