Detecting abuses in archaeological areas using k-mean clustering analysis and UAVs/drones data

Detecting abuses in archaeological areas using k-mean clustering analysis and UAVs/drones data

Unmanned aerial vehicles (UAVs) or drones have made great progress in aerial surveys to research and discover heritage sites and archaeological areas, particularly after having developed their technical capabilities to carry various sensors onboard, whether they are conventional cameras, multispectr...

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Bibliographic Details
Main Authors: Abdalrahman Qubaa, Saja Al-Hamdani
Format: Article
Language:English
Published: Warsaw University of Life Sciences 2021-04-01
Series:Przegląd Naukowy Inżynieria i Kształtowanie Środowiska
Subjects:
unmanned aerial vehicles
k-mean clustering
unsupervised classification
pix4d
remote sensing
archaeological survey
Online Access: http://iks.pn.sggw.pl/PN91/A16/art16.pdf

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