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All Journal Civil Engineering Journal
Abdel Aziz, Khaled Mahmoud
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Civil Engineering, Building, Construction & Architecture

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Journal : Civil Engineering Journal

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Comparative Study of Different Classification Methods and Winner Takes All Approach Abdel Aziz, Khaled Mahmoud; Elsonbaty, Loutfia
Civil Engineering Journal Vol 10, No 10 (2024): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-10-016

Abstract

One of the most popular methods in remote sensing for gathering and evaluating satellite data is the classification of images. Several categories exist for image classification techniques, including supervised and unsupervised classification, pixel-based, object-based, and rule-based approaches. Each type of technique has pros and cons of its own. Choosing the method that produces the best results is one of the issues with image classification. The "best" model for classifying images relies on the particular task and the dataset used. The ideal classification technique is a crucial component in increasing classification accuracy. The strengths and drawbacks of various models vary, so selecting one that is appropriate for the job is critical. The main objective of this research is to analyze and compare the results of each classifier used, including ISODATA, K-mean, Maximum likelihood, Minimum distance, Support vector machine, and Neural network then integrate these different types of classification using the winners-takes-all classification approach in order to try to improve the results. The classified images were assessed, and both the overall accuracy and kappa coefficient were calculated and gave 79.50%, 73.89%, 77.05%, and 84.98%, 86.53%, 87.18%, and 88.69% for ISODATA, K-means, Minimum distance (MD), Maximum likelihood (MXL), Support vector machine (SVM), Neural network (NNT), and winner takes all (WTA), respectively. From the results, the Winner takes all (WTA) presented a superior in terms of the overall accuracy and kappa coefficient. Doi: 10.28991/CEJ-2024-010-10-016 Full Text: PDF
Assessment of Red Sea Shoreline Dynamics Through Satellite Imagery and GIS Analysis Abdel Aziz, Khaled Mahmoud
Civil Engineering Journal Vol. 12 No. 1 (2026): January
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2026-012-01-09

Abstract

Monitoring and analyzing coastal dynamics is essential due to continuous shoreline changes driven by natural processes and human activities with significant environmental and economic impacts. This study aims to quantitatively assess shoreline change along the Red Sea coast using integrated remote sensing and Geographic Information Systems (GIS) techniques. Multi-temporal satellite imagery from 1980 to 2025 was processed to extract shoreline positions, and shoreline change rates were calculated using the EPR method to determine patterns of erosion and accretion. The study area extends along the northwestern part of Saudi Arabia within the Tabuk region, covering Wadi al Ayn, NEOM Port, and the villages of Al Muwaylih, As Sawrah, Sharma, Al Khuraybah, and Qiyal. The results reveal that erosion rates exceed accretion rates across most shoreline segments during the study period. The average EPR of accretion reached 1.13 m/yr, while erosion recorded a higher magnitude with an average rate of −1.99 m/yr. Spatial analysis showed a total accretion area of 1.634 km² compared to a substantially larger erosion area of 19.624 km². This study lies in providing a comprehensive, long-term spatiotemporal assessment of shoreline dynamics using consistent satellite-based measurements, contributing updated baseline data for coastal management and sustainable development planning in the Red Sea region.
Co-Authors Elsonbaty, Loutfia