EPSRC Reference: |
GR/R69402/01 |
Title: |
Minumum Cross-Entropy Reconstruction and Despeckling for Synthetic Aperture Radar Imagery |
Principal Investigator: |
Woodhouse, Professor I |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Institute of Geography |
Organisation: |
University of Edinburgh |
Scheme: |
Fast Stream |
Starts: |
08 October 2001 |
Ends: |
07 October 2002 |
Value (£): |
48,857
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EPSRC Research Topic Classifications: |
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EPSRC Industrial Sector Classifications: |
Environment |
Creative Industries |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
This project will apply a minimum cross-entropy (MCE) approach to the problem of despeckling images from coherent systems. We aim to demonstrate the procedure on the particular problem of radar cross-section reconstruction from synthetic aperture radar (SAR) imagery. SAR is an important instrument in Earth Observation and remote sensing for mapping and environmental monitoring but its application can be limited by the noise-like speckle that is inherent in the imagery.MCE methods have been applied in a wide range of image reconstruction problems, but have been noticeably underused for SAR imagery. This project will apply both traditional MCE methods as well as a new approach based on previous work by the PI. Fully iterative methods as well as filter-based methods will be implemented.Additionally we aim to explore the potential for MCE methods on multi-channel SAR data, particularly fully polarimetric imagery.
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Key Findings |
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Potential use in non-academic contexts |
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Impacts |
Description |
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Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.ed.ac.uk |