@inproceedings{a98279e4b5f445d2a2cd9ff8d5197f97,
title = "Compressed sensing for synthetic aperture radar imaging",
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 countermesasures and interception, and reduced on-board storage constraints.",
keywords = "Compressed sensing, SAR",
author = "Patel, {Vishal M.} and Easley, {Glenn R.} and Healy, {Dennis M.} and Rama Chellappa",
year = "2009",
doi = "10.1109/ICIP.2009.5414307",
language = "English (US)",
isbn = "9781424456543",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "2141--2144",
booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",
address = "United States",
note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",
}