Combination of fuzzy models via economic management for city multi-spectral remote sensing nano imagery road target

Weihua Luo, Ahmed H. Janabi, Joffin Jose Ponnore, Hanadi Hakami, Hakim AL Garalleh, Riadh Marzouki, Yuanhui Yu and Hamid Assilzadeh

Abstract

The study focuses on using remote sensing to gather data about the Earth's surface, particularly in urban environments, using satellites and aircraft-mounted sensors. It aims to develop a classification framework for road targets using multi-spectral imagery. By integrating Convolutional Neural Networks (CNNs) with XGBoost, the study seeks to enhance the accuracy and efficiency of road target identification, aiding urban infrastructure management and transportation planning. A novel aspect of the research is the incorporation of quantum sensors, which improve the resolution and sensitivity of the data. The model achieved high predictive accuracy with an MSE of 0.025, R-squared of 0.85, RMSE of 0.158, and MAE of 0.12. The CNN model showed excellent performance in road detection with 92% accuracy, 88% precision, 90% recall, and an f1-score of 89%. These results demonstrate the model's robustness and applicability in real-world urban planning scenarios, further enhanced by data augmentation and early stopping techniques.

Key Words

Convolutional Neural Networks (CNNs); multi-spectral imagery; remote sensing; quantum sensors; urban infrastructure management; XGBoost

Address

Weihua Luo: Jiangxi Zhonggantou Survey & Design Co.,Ltd, Nanchang City, Jiangxi Province, China Ahmed H. Janabi: Computer Techniques Engineering Department, College of Engineering & Technology, Al-Mustaqbal University, Babylon, Iraq Joffin Jose Ponnore: Department of Mechanical Engineering, College of Engineering in Al-Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj, 11942, Saudi Arabia Hanadi Hakami: Department of Software Engineering, College of Engineering, University of Business and Technology, Jeddah 21361, Saudi Arabia Hakim AL Garalleh: Department of Mathematical Science, College of Engineering, University of Business and Technology, Dahban, Jeddah 21361, Saudi Arabia Riadh Marzouki: Department of Chemistry, College of Science, King Khalid University, P.O. Box 9004, 61413 Abha, Saudi Arabia Yuanhui Yu: School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States Hamid Assilzadeh: Institute of Research and Development, Duy Tan University, Da Nang, Viet Nam/ School of Engineering & Technology, Duy Tan University, Da Nang, Viet Nam/ Department of Biomaterials, Saveetha Dental College and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai 600077, India/ Faculty of Architecture and Urbanism, UTE University, Calle Rumipamba S/N and Bourgeois, Quito, Ecuador

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