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NASA Computational Case Study: SAR Data Processing--Ground-Range Projection
Nov.-Dec. 2013 (vol. 15 no. 6)
pp. 92-95
Radar technology is used extensively by NASA for remote sensing of the Earth and other planetary bodies. In this case study, we learn about different computational concepts for processing radar data. In particular, we learn how to correct a slanted radar image by projecting it on the surface that was sensed by a radar instrument. The Web extra contains a Matlab data format file, as mentioned in the article.
Index Terms:
Synthetic aperture radar,Antennas,Data processing,Radar imaging,Radar remote sensing,Remote sensing,Planets,Scientific computing,NASA,Algorithm design and analysis,computational algorithms: projection and interpolation,Synthetic aperture radar,Antennas,Data processing,Radar imaging,Radar remote sensing,Remote sensing,Planets,Scientific computing,NASA,Algorithm design and analysis,scientific computing,NASA Science Application: Earth Sciences,planetary sciences,remote sensing,radar and SAR data processing
Citation:
Nargess Memarsadeghi, Rafael Rincon, "NASA Computational Case Study: SAR Data Processing--Ground-Range Projection," Computing in Science and Engineering, vol. 15, no. 6, pp. 92-95, Nov.-Dec. 2013, doi:10.1109/MCSE.2013.114
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