@conference {15908,
	title = {Compressed sensing for Synthetic Aperture Radar imaging},
	booktitle = {2009 16th IEEE International Conference on Image Processing (ICIP)},
	year = {2009},
	month = {2009/11//},
	pages = {2141 - 2144},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {In this paper, we introduce a new Synthetic Aperture Radar (SAR) imaging modality that provides a high resolution map of the spatial distribution of targets and terrain based on a significant reduction in the number of transmitted and/or received electromagnetic waveforms. This new imaging scheme, which requires no new hardware components, allows the aperture to be compressed and presents many important applications and advantages among which include resolving ambiguities, strong resistance to countermeasures and interception, and reduced on-board storage constraints.},
	keywords = {Compressed sensing, High-resolution imaging, Image coding, image resolution, Optical imaging, Radar antennas, radar imaging, Radar polarimetry, Reflectivity, SAR, spatial distribution, synthetic aperture radar, synthetic aperture radar imaging},
	isbn = {978-1-4244-5653-6},
	doi = {10.1109/ICIP.2009.5414307},
	author = {Patel, Vishal M. and Easley,G. R and Healy,D. M and Chellapa, Rama}
}
