A semi-automatic approach for estimating bedrock and surface layers from multichannel coherent radar depth sounder imagery

Jerome E. Mitchell; David J. Crandall; Geoffrey C. Fox; Maryam Rahnemoonfar; John D. Paden

doi:10.1117/12.2028992

17 October 2013 A semi-automatic approach for estimating bedrock and surface layers from multichannel coherent radar depth sounder imagery

Jerome E. Mitchell, David J. Crandall, Geoffrey C. Fox, Maryam Rahnemoonfar, John D. Paden

Author Affiliations +

Proceedings Volume 8892, Image and Signal Processing for Remote Sensing XIX; 88921E (2013) https://doi.org/10.1117/12.2028992
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

The dynamic responses of the polar ice sheets in Greenland and Antarctica can have substantial impacts on sea level rise. Understanding the mass balance requires accurate assessments of the bedrock and surface layers, but identifying each layer in ground-penetrating radar imagery must typically be performed by time-consuming hand selection. We have developed an approach for semi-automatically estimating bedrock and surface layers from radar depth sounder imagery acquired from Antarctica. Our solution utilizes an active contours method (level sets"), which identifies surface and bedrock boundaries by evolving initial estimates of a layer's position and depth until a gradient-based cost function is minimized. We evaluated the semi-automatic proposed method on 20 images with respect to hand labeled ground-truth. Compared to an existing automatic technique, our approach reduced labeling error by factors of 5 and 3.5 for tracing bedrock and surface layers, respectively.

Citation Download Citation

Jerome E. Mitchell, David J. Crandall, Geoffrey C. Fox, Maryam Rahnemoonfar, and John D. Paden "A semi-automatic approach for estimating bedrock and surface layers from multichannel coherent radar depth sounder imagery", Proc. SPIE 8892, Image and Signal Processing for Remote Sensing XIX, 88921E (17 October 2013); https://doi.org/10.1117/12.2028992

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