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MULTISOURCE DATA PROCESSING FOR THE DETECTION OF CAMOUFLAGED AND POORLY OBSERVABLE ENEMY OBJECTS BASED ON ARTIFICIAL INTELLIGENCE

Dharmendra Singh Sharma Ромео

Conference proceedings: Збірник наукових праць з матеріалами VII Міжнародної наукової конференції «Наукові орієнтири: теорія та практика досліджень» (м. Умань, Україна; 27 березня, 2026 р.)

Section: Роботи, що індексуються в Google Scholar

Publication date: 2026/03/27

Pages: 101-112

ISBN: 978-617-8582-30-2

Publisher: ТОВ «УКРЛОГОС Груп»

Language: en

PDF for indexing Original publication in OJS archive

Abstract

In the modern combat and surveillance environment, the problem of detecting enemy objects is no longer merely a matter of acquiring imagery from a distance. The main difficulty is associated with the increasing spectral, textural, and geometric similarity of an object to its background, the development of camouflage means, the disappearance of small-sized targets within a wide observation field, meteorological effects, and inter-platform variability.

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