AN INTEGRATED REMOTE SENSING, PETROLOGY, AND FIELD GEOLOGY ANALYSES FOR NEOPROTEROZOIC BASEMENT ROCKS IN SOME PARTS OF THE SOUTHERN EGYPTIAN-NUBIAN SHIELD

Abstract The main objective of this study was to use deep learning, and convolutional neural networks (CNN), integrated with field geology to identify distinct lithological units.The Samadia-Tunduba region of the South Eastern Desert of Egypt was mapped geologically for the first time thanks to the use of processed developed CNN algorithms using La

Relevance.The need to continue studying the patterns of distribution of physical properties of rocks by area and compare with previously conducted studies on the analysis of the distribution of rock density.Generally accepted approaches imply averaging constants, which are key in calculating the filtration-capacitive properties.A small amount of ac