Monitoring the IIUM river using unmanned aerial vehicle and image classification

Nazmi, Mohamad and Okasha, Mohamed Elsayed Aly Abd Elaziz and Aasim, Aizat and Idres, Moumen Mohammed Mahmoud (2022) Monitoring the IIUM river using unmanned aerial vehicle and image classification. In: 5th International Conference on Mechanical, Automotive and Aerospace Engineering (ICMAAE 2021), 21st - 23rd June 2021, Kuala Lumpur, Malaysia.

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Abstract

Prior research has shown viable methods towards identifying sources of pollution in rivers by utilizing Unmanned Aerial Vehicles (UAVs) combined with proper image classification techniques. This research attempts to develop and implement a novel approach to monitor the IIUM River whereby a Parrot Bebop 2 drone is utilized for data collection, while the Quantum Geographic Information System (QGIS) software is used for the supervised classification of the collected data. The image processing techniques of stitching or mosaicking, georeferencing and supervised classification are done using Adobe Photoshop, QGIS Georeferencing plugin, and QGIS Semi-Automatic Supervised Classification Toolbox, respectively. Results show that the classification process successfully recognized target objects, however, differing sun locations in datasets along with insufficient training data have led to some minor flaws. Despite these flaws, this research successfully achieved its objectives and will be vital for further investigations in the future.

Item Type:	Conference or Workshop Item (Other)
Uncontrolled Keywords:	monitoring river; image classification;
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering V Naval Science > V Naval Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User:	Dr Moumen Idres
Date Deposited:	22 Dec 2022 13:07
Last Modified:	22 Dec 2022 13:07
URI:	http://irep.iium.edu.my/id/eprint/102093

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