Thousands of high-resolution images are generated each day. Detecting and analyzing variations in these images are key steps in image understanding. This work focuses on spatial and multitemporal
visual change detection and its applications in multi-temporal synthetic aperture radar (SAR) images.
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- Partial requirement for: Ph.D., Arizona State University, 2014Note typethesis
- Includes bibliographical references (p. 107-120)Note typebibliography
- Field of study: Electrical engineering