The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
Compressed Synthetic Aperture Radar
Abstract
In this paper, we introduce a new synthetic aperture radar (SAR) imaging modality which can provide a high-resolution map of the spatial distribution of targets and terrain using a significantly reduced number of needed transmitted and/or received electromagnetic waveforms. This new imaging scheme, requires no new hardware components and allows the aperture to be compressed. It also presents many new applications and advantages which include strong resistance to countermesasures and interception, imaging much wider swaths and reduced on-board storage requirements.
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Cites
Donoho, D. L. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.871582 · Cited by 23,994
Donoho, D. L. (2004) · Cited by 16,703
Candes, E. J., Romberg, J., & Tao, T. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.862083 · Cited by 15,639
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
Tropp, J. A., & Gilbert, A. C. (2007) · IEEE Transactions on Information Theory · doi:10.1109/tit.2007.909108 · Cited by 9,653
Stable signal recovery from incomplete and inaccurate measurements
Candès, E. J., Romberg, J. K., & Tao, T. (2006) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.20124 · Cited by 7,036
Sparse MRI: The application of compressed sensing for rapid MR imaging
Lustig, M., Donoho, D., & Pauly, J. M. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21391 · Cited by 6,952
Atomic Decomposition by Basis Pursuit
Chen, S. S., Donoho, D. L., & Saunders, M. A. (1998) · SIAM Journal on Scientific Computing · doi:10.1137/s1064827596304010 · Cited by 6,845
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
Candes, E. J., & Tao, T. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.885507 · Cited by 6,839
CoSaMP: Iterative signal recovery from incomplete and inaccurate samples
Needell, D., & Tropp, J. A. (2009) · Applied and Computational Harmonic Analysis · doi:10.1016/j.acha.2008.07.002 · Cited by 4,326
Compressive Sensing [Lecture Notes]
Baraniuk, R. (2007) · IEEE Signal Processing Magazine · doi:10.1109/msp.2007.4286571 · Cited by 4,177
Cited by
Compressive Sensing in Electromagnetics - A Review
Massa, A., Rocca, P., & Oliveri, G. (2015) · IEEE Antennas and Propagation Magazine · doi:10.1109/map.2015.2397092 · Cited by 360
Chaos and compressive sensing based novel image encryption scheme
Khan, J. S., & Kayhan, S. K. (2021) · Journal of Information Security and Applications · doi:10.1016/j.jisa.2020.102711 · Cited by 65
Metadata
- Authors
- Patel, V. M., Easley, G. R., Healy, D. M., & Chellappa, R.
- Venue
- IEEE Journal of Selected Topics in Signal Processing
- Published
- 2010-04
- Volume
- 4
- Issue
- 2
- Pages
- 244-254
- ISSN
- 1932-4553 (ISSN-L)
- 1941-0484
- OpenAlex
- W2123693211
- Cited by
- 440
- References
- 44
- FWCI
- 60.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Patel, V. M., Easley, G. R., Healy, D. M., & Chellappa, R. (2010). Compressed Synthetic Aperture Radar. IEEE Journal of Selected Topics in Signal Processing. https://doi.org/10.1109/jstsp.2009.2039181
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