A SEMI-AUTOMATIC APPROACH FOR ESTIMATING NEAR SURFACE INTERNAL LAYERS FROM SNOW RADAR IMAGERY

The near surface layer signatures in polar firn are preserved from the glaciological behaviors of past climate and are important to understanding the rapidly changing polar ice sheets. Identifying and tracing near surface internal layers in snow radar echograms can be used to produce high-resolution...

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Bibliographic Details
Main Authors: Jerome E. Mitchell, David J. Cr, Geoffrey C. Fox, John D Paden
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Index Terms — Radar Image Processing
Near Surface Internal Layers
Antarc*
Antarctica
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.363.8969
http://grids.ucs.indiana.edu/ptliupages/publications/IGARSSMitchellv2.pdf
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Summary:The near surface layer signatures in polar firn are preserved from the glaciological behaviors of past climate and are important to understanding the rapidly changing polar ice sheets. Identifying and tracing near surface internal layers in snow radar echograms can be used to produce high-resolution accumulation maps. Layers, however, are manually traced in large data volumes requiring time-consuming, dense handselection and interpolation between sections. We have developed an approach for semi-automatically estimating near surface internal layers in snow radar echograms acquired from Antarctica. Our solution utilizes an active contour model (called snakes) to find high-intensity edges likely to correspond to layer boundaries, while simultaneously imposing constraints on smoothness of layer depth and parallelism among layers.

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