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

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

Abstract

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 - The International Society for Optical Engineering
Volume9017
DOIs
StatePublished - 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

Other

Other21st annual IS and T/SPIE Conference on Visualization and Analysis, VDA 2014
CountryUnited States
CitySan Francisco, CA
Period2/3/142/5/14

Fingerprint

lunar craters
craters
Probabilistic Modeling
Visualization
Bayesian networks
Bayesian Networks
Joint Model
Lunar Reconnaissance Orbiter
Probability Model
Moon
Network Architecture
Conditional probability
Image resolution
Network architecture
Spacecraft
Spectral Properties
cratering
Remote Sensing
Linkage
lunar surface

Keywords

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

ASJC Scopus subject areas

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

Cite this

Mahanti, P., & Robinson, M. (2014). Visualization of probabilistic relationships in shape-maturity data for lunar craters. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 9017). [90170W] https://doi.org/10.1117/12.2042618

Visualization of probabilistic relationships in shape-maturity data for lunar craters. / Mahanti, Prasun; Robinson, Mark.

Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9017 2014. 90170W.

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

Mahanti, P & Robinson, M 2014, Visualization of probabilistic relationships in shape-maturity data for lunar craters. in Proceedings of SPIE - The International Society for Optical Engineering. vol. 9017, 90170W, 21st annual IS and T/SPIE Conference on Visualization and Analysis, VDA 2014, San Francisco, CA, United States, 2/3/14. https://doi.org/10.1117/12.2042618
Mahanti P, Robinson M. Visualization of probabilistic relationships in shape-maturity data for lunar craters. In Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9017. 2014. 90170W https://doi.org/10.1117/12.2042618
Mahanti, Prasun ; Robinson, Mark. / Visualization of probabilistic relationships in shape-maturity data for lunar craters. Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9017 2014.
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