Детайли за публикацията
(Publication details)

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.

References

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

    Copyright IEEE

    Full text of the publication

    Вид: пленарен доклад в международен форум, индексирана в Scopus

    Въведена от: доц. д-р Агата Христова Манолова