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7 June 2024 SAR image quantization strategies for improved human/machine interpretability
Brian D. Rigling, Uttam Majumder, Edmund Zelnio
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Proceedings Volume 13032, Algorithms for Synthetic Aperture Radar Imagery XXXI; 130320R (2024) https://doi.org/10.1117/12.3014322
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States
Abstract
Synthetic aperture radar (SAR) images can have broad dynamic range depending on the responses of the content of the observed scenes. This can vary from intense specular responses from manmade objects to low/no-return areas due to shadowing or forward scatter off electromagnetically smooth surfaces. To display SAR images for human consumption or to input them modern recognition algorithms, one must usually adopt a finite precision display. This is typically no more than 8 bits of quantization, but in some instances, utilization of fewer bits may present operational advantages. This paper explores three distinct techniques for SAR image quantization and provides examples with measured imagery.
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Brian D. Rigling, Uttam Majumder, and Edmund Zelnio "SAR image quantization strategies for improved human/machine interpretability", Proc. SPIE 13032, Algorithms for Synthetic Aperture Radar Imagery XXXI, 130320R (7 June 2024); https://doi.org/10.1117/12.3014322
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KEYWORDS
Quantization
Synthetic aperture radar
Image quality
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