Image processing methods decision mechanism for surveillance applications with UAVs
Yükleniyor...
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Emerald Group Holdings
Erişim Hakkı
info:eu-repo/semantics/embargoedAccess
Özet
Purpose – The use of unmanned aerial vehicles (UAVs) has significantly increased in the past decade and nowadays is being used for various purposes such as image processing, cargo transport, archaeology, agriculture, manufacturing, health care, surveillance and inspections. For this reason, using the appropriate image processing method for the intended use of UAVs increases the study’s success. This study aims to determine the most suitable one among the innovative methods that constitute the image processing system for a UAV to be used for surveillance purposes. Design/methodology/approach – Analytical hierarchy process has been used in the solution of the decision problem to be handled in three stages, namely, platform, architecture and method. The most suitable alternative and the effect weights of these criteria results were determined at each stage. Findings – As a result of this study, Jetson TX2 was determined as the most suitable embedded platform, ResNet is the optimum architecture and Faster R-convolutional neural networks was the best method in the image processing layer for a system that will provide surveillance with image processing method using UAV. Practical implications – In UAV designs, where multiple hardware and software choices and system combinations exist, multi-criteria decisionmaking (MCDM) approaches can be used as a system decision mechanism. Originality/value – The novelty of this work comes from the application of MCDM methods that are used as a multi-layered decision mechanism in UAV design.
Açıklama
Anahtar Kelimeler
Image processing, Multi-criteria decision-making, Analytical hierarchy process, System design, Decision mechanism
Kaynak
Aircraft Engineering and Aerospace Technology
WoS Q Değeri
Q3
Scopus Q Değeri
N/A
