Automated SAR sea ice interpretation

c ○ Qiyao Yu 2006I hereby declare that I am the sole author of this thesis. I authorize the University of Waterloo to lend this thesis to other institutions or individuals for the purpose of scholarly research. I further authorize the University of Waterloo to reproduce this thesis by photocopying o...

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Bibliographic Details
Main Author: Qiyao Yu
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2006
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.6951
http://www.eng.uwaterloo.ca/~dclausi/Theses/Qiyao Yu - PhD Thesis - U of Waterloo - May 2006.pdf
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Summary:c ○ Qiyao Yu 2006I hereby declare that I am the sole author of this thesis. I authorize the University of Waterloo to lend this thesis to other institutions or individuals for the purpose of scholarly research. I further authorize the University of Waterloo to reproduce this thesis by photocopying or by other means, in total or in part, at the request of other institutions or individuals for the purpose of scholarly research. Synthetic aperture radar (SAR) provides an efficient imaging tool for sea ice monitoring, which has found important applications in both scientific and operational activities such as climatic research and ship navigation. Due to the large volume of SAR data acquired, automated computer based interpretation is desired, the goal of which is to segment the image into homogeneous regions and classify each segmented region into the correct ice type. Unfortunately, significant variations exist with respect to the intensity and texture appearance of SAR sea ice due to the numerous imaging parameters and environmental factors, and hence make the