Open AccessApplication of mathematical morphology in digital images for extraction of airport tracks
Author(s) -
T. G. Godoy,
E. A. Silva,
Guilherme Pina Cardim,
Alfredo Ferreira
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/509/1/012050
Subject(s) - mathematical morphology , computer science , identification (biology) , digital image , computer vision , variety (cybernetics) , image processing , artificial intelligence , digital image processing , extraction (chemistry) , remote sensing , computer graphics (images) , image (mathematics) , data mining , geography , chemistry , botany , chromatography , biology
The products created using remote sensing enables the detection of desired shapes, making possible the update of Cartographic products that can used for a variety of purposes. Techniques of digital image processing are generally used in methodologies of detection and identification of changes. Accordingly, this work aims to present the results of using the Mathematical Morphology (MM) techniques to the extraction of airport tracks from digital images for cartographic products updating.