ICIAR 2004: Image Analysis and Recognition pp 489-496 | Cite as
Automatic Recognition of Impact Craters on the Surface of Mars
Conference paper
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.
Keywords
Impact Crater Texture Measure Binary Mask Automatic Recognition Mars Global Surveyor
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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