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Contour-based automatic crater recognition using digital elevation models from Chang'E missions
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DOI：10.1016/j.cageo.2016.07.013.png)
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Abstract
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In order to provide fundamental information for exploration and related scientific research on the Moon and other planets, we propose a new automatic method to recognize craters on the lunar surface based on contour data extracted from a digital elevation model (DEM). Through DEM and image processing, this method can be used to reconstruct contour surfaces, extract and combine contour lines, set the characteristic parameters of crater morphology, and establish a crater pattern recognition program. The method has been tested and verified with DEM data from Chang'E-1 (CE-1) and Chang'E-2 (CE-2), showing a strong crater recognition ability with high detection rate, high robustness, and good adaptation to recognize various craters with different diameter and morphology. The method has been used to identify craters with high precision and accuracy on the Moon. The results meet requirements for supporting exploration and related scientific research for the Moon and planets. (C) 2016 Elsevier Ltd. All rights reserved.
Keywords:
Lunar surface crater
Automatic recognition
Image processing
Pattern recognition
Contour line
Digital elevation model
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