Automated detection of near surface Martian ice layers in orbital radar data

An algorithm is presented to automatically detect near surface ice layers in images from the Shallow Subsurface Radar (SHARAD) on NASA's Mars Reconnaissance Orbiter. Mars' ice-rich Northern Polar Layered Deposits (NPLD) represents an extensive geologic record of climate history. Identifyin...

Full description

Saved in:
Bibliographic Details
Published in2010 IEEE Southwest Symposium on Image Analysis & Interpretation (SSIAI) pp. 117 - 120
Main Authors Freeman, Greg J, Bovik, Alan C, Holt, John W
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2010
Subjects
Geology
Ground penetrating radar
History
Ice surface
Image Processing
Mars
Mars Northern Polar Layered Deposits
Radar cross section
Radar detection
Radar imaging
Reconnaissance
Reflection
Synthetic Aperture Radar Sounding
Online AccessGet full text

Cover

More Information
Summary:An algorithm is presented to automatically detect near surface ice layers in images from the Shallow Subsurface Radar (SHARAD) on NASA's Mars Reconnaissance Orbiter. Mars' ice-rich Northern Polar Layered Deposits (NPLD) represents an extensive geologic record of climate history. Identifying ice layers in cross-sectional images leads to understanding the three-dimensional structure of ice layers. Scientists have manually identified layers in large data volumes, but the automated algorithm will allow studying more images from over a thousand orbital crossings. A unique coordinate transformation, based upon the surface reflection, makes subsequent filtering and detection more effective on near surface layers. Results show promising capabilities for automatically detecting ice layers on Mars.
ISBN:9781424478019
1424478014
DOI:10.1109/SSIAI.2010.5483905