Visualization of probabilistic relationships in shape-maturity data for lunar craters

Prasun Mahanti, Mark Robinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Probabilistic modeling and visualization of crater shape-maturity relationships is explored in context of remote sensing data acquired by Apollo, Clementine and Lunar Reconnaissance Orbiter spacecraft. Unlike any earlier attempt of understanding relationships between lunar crater features (depth and diameter), relative age of crater formation (Pre-Nectarian to Copernican) and optical maturity of the lunar surface (OMAT values), the joint probability of these variables is modeled. The proposed model is strongly dependent on data density and is not based on deterministic equations as in earlier works. Once developed, a joint probability model can accommodate additional factors through conditional probability weights in a Bayesian network architecture. It is expected that probabilistic modeling will facilitate visualization of relationships between experimental variables and eventually help gain additional insight into lunar cratering mechanisms and linkages between crater morphology, spectral properties and crater degradation mechanisms. The described simple Bayesian network in this work is by no means complete, but illustrates the potential of the proposed novel method with the advent of high resolution images and topographic measurements for the Moon.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Visualization and Data Analysis 2014
StatePublished - Mar 3 2014
Event21st annual IS and T/SPIE Conference on Visualization and Analysis, VDA 2014 - San Francisco, CA, United States
Duration: Feb 3 2014Feb 5 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Other21st annual IS and T/SPIE Conference on Visualization and Analysis, VDA 2014
Country/TerritoryUnited States
CitySan Francisco, CA


  • Bayesian networks
  • LRO
  • depth-diameter relationships
  • lunar craters

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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