Abstract
This paper presents a methodology to automatically recognise impact craters on the surface of Mars. It consists of three main phases: in the first one the images are segmented through a PCA of statistical texture measures, followed by the enhancement of the selected contours; in a second phase craters are recognised through a template matching approach; in a third phase the rims of the plotted craters are locally fitted through the watershed transform. © Springer-Verlag 2004.
Cite
CITATION STYLE
Barata, T., Ivo Alves, E., Saraiva, J., & Pina, P. (2004). Automatic recognition of impact craters on the surface of mars. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3212, 489–496. https://doi.org/10.1007/978-3-540-30126-4_60
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
