Autors: Christoff, N. V., Manolova, A. H.
Title: Detection and Boundary Extraction of Martian Impact Craters by a Pyramidal Approach
Keywords: Impact crater detection, boundary extraction, image pyramidal representation, morphological opening and closing, Hough transform

Abstract: During the last ten years, Mars has been extensively explored and mapped by several NASA and ESA orbital missions, generating large datasets of high-resolution images. This type of information helps the understanding of impact processes occurring on the surface of celestial bodies. In this work, we introduced a novel automated approach for detection and boundary extraction of Martian impact craters. We implemented a pyramidal image representation and classical morphological operations, involving Hough transform (HT), which identified regions with a specific circular form. This was tested on 3D mesh data of Mars, provided by Mars Orbiter Laser Altimeter (MOLA). We will demonstrate the potential and usefulness of such automated approach in planetary science.



    2019 14th International Conference on Advanced Technologies, Systems and Services in Telecommunications, TELSIKS 2019 – Proceedings, pp. 384-387, 2019, Serbia, IEEE, DOI 10.1109/TELSIKS46999.2019.9002025

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science