Autors: Christoff, N. V., Manolova, A. H., 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 cater features, classifiers, curvature analysis

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 performance 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 demonstrate that the proposed method can achieve better accuracy in comparison with other crater detection methods and have smaller computational complexity.

References

    Issue

    International Conference on Advanced Technologies, Systems and Services in Telecommunications - TELSIKS, pp. 211--214, 2017, Serbia, IEEE, DOI 10.1109/TELSKS.2017.8246265

    Copyright IEEE

    Full text of the publication

    Цитирания (Citation/s):
    1. Atheer Luay Salih Al-Tameemi, "Estimation of Planetary Surface Ages Using Image Based Automatic Crater Detection Algorithms", PhD thesis, Technische Universität Dortmund, 2018 - 2019 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    2. Yiran Wang, "Spatial distribution and morphological characteristics of lunar craters based on reliable crater detection from lunar imagery and DEM.", PhD thesis, The Hong Kong Polytechnic University, 2020 - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus