Stacked vector multi-source lithologic classification utilizing Machine Learning Algorithms: Data potentiality and dimensionality monitoring
Ali Shebl,Ali Shebl,Árpád Csámer +2 more
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TLDR
This study scrutinizes the efficacy of Artificial Neural Network, Maximum Likelihood Classifier (MLC) and Support Vector Machine (SVM) over hybrid datasets including optical, radar, DEMs and their derivatives and shows that SVM and MLC are much better than ANN.About:
This article is published in Remote Sensing Applications: Society and Environment.The article was published on 2021-11-01 and is currently open access. It has received 16 citations till now. The article focuses on the topics: Support vector machine.read more
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Effective delineation of rare metal-bearing granites from remote sensing data using machine learning methods: A case study from the Umm Naggat Area, Central Eastern Desert, Egypt
M. A. Abdelkader,Yasushi Watanabe,Aly Shebl,Hanna A. El-Dokouny,Maher Dawoud Dawoud,Árpád Csámer +5 more
TL;DR: In this article , the authors integrated eight image enhancement techniques, including optimum index factor, false color composites, band rationing, relative band depth, independent component analysis, principal component analysis (PCA), decorrelation stretch, minimum noise fraction transform, and spectral indices ratios, for the interpretation of ASTER and Sentinel-2 datasets.
Journal ArticleDOI
Advanced land imager superiority in lithological classification utilizing machine learning algorithms
TL;DR: In this paper , a case study of the Um Salatit area, in the Eastern Desert of Egypt, was conducted to test the potency of Earth observing-1 Advanced Land Imager (ALI) data with the frequently utilized Sentinel 2 (S2), ASTER, and Landsat OLI (L8) data in lithological allocation using the widely accepted ANN, MLC, and SVM.
Journal ArticleDOI
Multiscale mineralogical investigations for mineral potentiality mapping of Ras El-Kharit-Wadi Khashir district, Southern Eastern Desert, Egypt
Hatem M. El-Desoky,Aly Shebl,Ahmed M. Abdel-Rahman,Wael G. Fahmy,H. El-Awny,Anas M. El-Sherif,Mahmoud M. El-Rahmany,Árpád Csámer +7 more
TL;DR: In this article , the authors performed a systematic remote sensing exploration of the mineralized zones in Ras El-kharit-wadi Khashir (Eastern Desert, Egypt) through integrating Sentinel 2 and ASTER datasets.
Journal ArticleDOI
Mapping Structurally Controlled Alterations Sparked by Hydrothermal Activity in the Fatira–Abu Zawal Area, Eastern Desert, Egypt
Mohamed Badawi,Mahmoud Abdelatif,Aly Shebl,Farid Mahmoud Makroum,Ahmed Shalaby,Norbert Németh +5 more
TL;DR: In this paper , a combination of various field observations and remote sensing data, followed by the analysis of aeromagnetic enhanced maps, allowed the differentiation of distinct lithologies, structural features, and hydrothermal alterations in the study area.
Journal ArticleDOI
Lithological mapping enhancement by integrating Sentinel 2 and gamma-ray data utilizing support vector machine: A case study from Egypt
Ali Shebl,Ali Shebl,Mahmoud Abdellatif,Mahmoud Abdellatif,Musa Hissen,Mahmoud Abdelaziz,Mahmoud Abdelaziz,Árpád Csámer +7 more
TL;DR: In this article, the authors used Support Vector Machine (SVM) learning algorithm to classify combined high spectral resolution Sentinel 2 data with K, Th, and U content of the rocks to better differentiate a lithologically complex area in Egypt.
References
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