Lunar surface roughness based on multiscale morphological method

Surface roughness is a useful tool to reflect numerous geological characteristics. Lunar Orbiter Laser Altimeter (LOLA) Gridded Data Records (GDRs) are used as the datum. In this paper, Lunar surface roughness maps are built based on morphological methods in image processing. As roughness measure, e...

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Bibliographic Details
Published in:Planetary and space science 2015-04, Vol.108, p.13-23
Main Authors: Cao, Wei, Cai, Zhanchuan, Tang, Zesheng
Format: Article
Language:English
Subjects:
Elevation
Lunar surface
Morphological method
Multiscale roughness maps
Pixels
Roughness
Structuring element
Surface roughness
Topography
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Summary:Surface roughness is a useful tool to reflect numerous geological characteristics. Lunar Orbiter Laser Altimeter (LOLA) Gridded Data Records (GDRs) are used as the datum. In this paper, Lunar surface roughness maps are built based on morphological methods in image processing. As roughness measure, elevations of GDRs are considered as pixels of an image. Structuring element (SE) is employed as a scale-dependent measure of roughness maps. Global roughness maps with different resolutions are built to interpret the stability of our roughness measure. Global roughness with different-size SEs is mapped based on GDRs with the resolution of 64 pixels per degree to discuss the roughness variations in local regions determined by SEs. Regional roughness maps provide significant melt-related overviews of typical topography. •We propose Multiscale Morphological Roughness (MMR) to show the local variations of lunar surface roughness based on Lunar Reconnaissance Orbiter Digital Elevation Models (LRO DEMs).•In this paper, surface roughness is defined as the difference between the results of closing and opening operators with disk structuring elements.•Our experiments indicate that MMR is scale-sensitive. This property can show the lunar roughness variations in different-scale regions.
ISSN:0032-0633
1873-5088
DOI:10.1016/j.pss.2014.09.009