Applications of Artificial Neural Networks to Synthetic Aperture Radar for Feature Extraction in Noisy Environments
It is often that images generated from Synthetic Aperture Radar (SAR) are noisy, distorted, or incomplete pictures of a target or target region. As the goal for most SAR research pertains to automatic target recognition (ATR), extensive filtering and image processing is required in order to extract...
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| Format: | Others |
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DigitalCommons@CalPoly
2013
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| Online Access: | https://digitalcommons.calpoly.edu/theses/996 https://digitalcommons.calpoly.edu/cgi/viewcontent.cgi?article=2075&context=theses |