Software Implementation of an Algorithm for Automatic Detection of Lineaments and Their Properties in Open-Pit Dumps

This paper presents an algorithm and description of its software implementation for detection of lineaments (ground erosions or cracks) in aerial images of open pits. The proposed approach is based on the apparatus of convolutional neural networks for semantic classification of binarized images of l...

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Bibliographic Details
Published in:	Programming and computer software Vol. 50; no. 1; pp. 31 - 41
Main Authors:	Popov, S. E., Potapov, V. P., Zamaraev, R. Y.
Format:	Journal Article
Language:	English
Published:	Moscow Pleiades Publishing 01.02.2024 Springer Nature B.V
Subjects:	Accuracy Aerial photography Algorithms Artificial Intelligence Artificial neural networks Automation Color imagery Computer Science Concrete Cracks Datasets Flaw detection Graph theory Image classification Image resolution Libraries Localization Mathematical models Methods Modules Neural networks Object recognition Operating Systems Pixels Preprocessing Semantics Software Software Engineering Software Engineering/Programming and Operating Systems Source code
ISSN:	0361-7688, 1608-3261
Online Access:	Get full text
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