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Autors: Christoff, N. V., Manolova, A. H., Sophie Viseur., Sylvain Bouley., Laurent Jorda., Jean-Luc Mari.
Title: Feature Extraction and automatic detection of Martian impact craters from 3D meshes
Keywords: MOLA data, 3D mesh, automated extraction of features, machine learning, craters, Mars

Abstract: In this paper, we propose a novel feature extraction algorithm based on curvature analysis over the 3D data and the grayscale information extracted from the images. The perfor-mance of the method is tested on 3D mesh data, provided by Mars Orbiter Laser Altimeter (MOLA) and compared to benchmark research work. The experimental results demon-strate that the proposed method can achieve less computational complexity and better accuracy in comparison with other crater detection methods.


    International Conference on Advanced Technologies, Systems and Services in Telecommunications - TELSIKS, 2017, Serbia,

    Copyright IEEE

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    Вид: пленарен доклад в международен форум, индексирана в Scopus

    Въведена от: доц. д-р Агата Христова Манолова