메뉴 건너뛰기




Volumn 89, Issue 10, 2009, Pages 1959-1972

Compressive sensing for subsurface imaging using ground penetrating radar

Author keywords

1 Minimization; Compressive sensing; Ground penetrating radar (GPR); Source localization; Sparsity; Subsurface imaging; Synthetic aperture

Indexed keywords

COMPRESSIVE SENSING; GROUND PENETRATING RADAR (GPR); SOURCE LOCALIZATION; SPARSITY; SUBSURFACE IMAGING;

EID: 67349160257     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2009.03.030     Document Type: Article
Times cited : (120)

References (36)
  • 2
    • 10844262630 scopus 로고    scopus 로고
    • Pre-stack migration applied to GPR for landmine detection
    • Feng X., and Sato M. Pre-stack migration applied to GPR for landmine detection. Inverse Problems 20 (2004) 99-115
    • (2004) Inverse Problems , vol.20 , pp. 99-115
    • Feng, X.1    Sato, M.2
  • 5
    • 31744440684 scopus 로고    scopus 로고
    • Robust uncertanity principles: exact signal reconstruction from highly incomplete frequency information
    • Candes E., Romberg J., and Tao T. Robust uncertanity principles: exact signal reconstruction from highly incomplete frequency information. IEEE Transactions on Information Theory 52 (2006) 489-509
    • (2006) IEEE Transactions on Information Theory , vol.52 , pp. 489-509
    • Candes, E.1    Romberg, J.2    Tao, T.3
  • 9
    • 0028743575 scopus 로고
    • Ground penetrating radar as a subsurface environmental sensing tool
    • Peters L., Daniels J., and Young J. Ground penetrating radar as a subsurface environmental sensing tool. Proceedings of the IEEE 82 12 (December 1994) 1802-1822
    • (1994) Proceedings of the IEEE , vol.82 , Issue.12 , pp. 1802-1822
    • Peters, L.1    Daniels, J.2    Young, J.3
  • 12
    • 55649115527 scopus 로고    scopus 로고
    • A simple proof of the restricted isometry property for random matrices
    • December
    • R. Baraniuk, M. Davenport, R. DeVore, M. Wakin, A simple proof of the restricted isometry property for random matrices, Constructive Approximation, 28(3) (December 2008) 253-263.
    • (2008) Constructive Approximation , vol.28 , Issue.3 , pp. 253-263
    • Baraniuk, R.1    Davenport, M.2    DeVore, R.3    Wakin, M.4
  • 13
    • 84944908755 scopus 로고    scopus 로고
    • M-sequence ultra-wideband-radar: state of development and applications
    • Sachs J. M-sequence ultra-wideband-radar: state of development and applications. Radar Conference (2003) 224-229
    • (2003) Radar Conference , pp. 224-229
    • Sachs, J.1
  • 18
    • 33947632909 scopus 로고    scopus 로고
    • Random filters for compressive sampling and reconstruction
    • Tropp J., Wakin M., Duarte M., Baron D., and Baraniuk R. Random filters for compressive sampling and reconstruction. ICASSP-2006 3 (2006) 872-875
    • (2006) ICASSP-2006 , vol.3 , pp. 872-875
    • Tropp, J.1    Wakin, M.2    Duarte, M.3    Baron, D.4    Baraniuk, R.5
  • 20
    • 34548275795 scopus 로고    scopus 로고
    • The Dantzig selector: statistical estimation when p is much larger than n
    • Candes E., and Tao T. The Dantzig selector: statistical estimation when p is much larger than n. Annals of Statistics 35 6 (2007) 2313-2351
    • (2007) Annals of Statistics , vol.35 , Issue.6 , pp. 2313-2351
    • Candes, E.1    Tao, T.2
  • 21
    • 33748575920 scopus 로고    scopus 로고
    • Signal reconstruction from noisy random projections
    • Haupt J., and Nowak R. Signal reconstruction from noisy random projections. IEEE Transactions on Information Theory 52 9 (2006) 4036-4048
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.9 , pp. 4036-4048
    • Haupt, J.1    Nowak, R.2
  • 22
    • 33144483155 scopus 로고    scopus 로고
    • Stable recovery of sparse overcomplete representations in the presence of noise
    • Donoho D., Elad M., and Temlyakov V. Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Transactions on Information Theory 52 1 (2006) 6-18
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.1 , pp. 6-18
    • Donoho, D.1    Elad, M.2    Temlyakov, V.3
  • 26
    • 34547539765 scopus 로고    scopus 로고
    • Iterative hard thresholding and l0 regularisation
    • Blumensath T., Yaghoobi M., and Davies M. Iterative hard thresholding and l0 regularisation. ICASSP 3 (2007) 877-880
    • (2007) ICASSP , vol.3 , pp. 877-880
    • Blumensath, T.1    Yaghoobi, M.2    Davies, M.3
  • 27
    • 64649083745 scopus 로고    scopus 로고
    • Signal recovery from random measurements via orthogonal matching pursuit
    • Tropp J., and Gilbert A. Signal recovery from random measurements via orthogonal matching pursuit. IEEE Transactions on Information Theory 53 12 (December 2007) 4655-4666
    • (2007) IEEE Transactions on Information Theory , vol.53 , Issue.12 , pp. 4655-4666
    • Tropp, J.1    Gilbert, A.2
  • 28
    • 62749175137 scopus 로고    scopus 로고
    • Cosamp: Iterative signal recovery from incomplete and inaccurate samples
    • D. Needell, J.A. Tropp, Cosamp: iterative signal recovery from incomplete and inaccurate samples, Applied and Computational Harmonic Analysis, 26, 2009, pp. 301-321.
    • (2009) Applied and Computational Harmonic Analysis , vol.26 , pp. 301-321
    • Needell, D.1    Tropp, J.A.2
  • 29
    • 47849083545 scopus 로고    scopus 로고
    • Sparse signal reconstruction from noisy compressive measurements using cross validation
    • Boufounos P., Duarte M., and Baraniuk R. Sparse signal reconstruction from noisy compressive measurements using cross validation. Proceedings of the IEEE Workshop on SSP (2007) 299-303
    • (2007) Proceedings of the IEEE Workshop on SSP , pp. 299-303
    • Boufounos, P.1    Duarte, M.2    Baraniuk, R.3
  • 33
    • 0011629158 scopus 로고
    • Superresolution via sparsity constraints
    • Donoho D. Superresolution via sparsity constraints. SIAM Journal on Mathematical Analysis 23 5 (1992) 1309-1331
    • (1992) SIAM Journal on Mathematical Analysis , vol.23 , Issue.5 , pp. 1309-1331
    • Donoho, D.1
  • 34
    • 25444450079 scopus 로고    scopus 로고
    • A sparse signal reconstruction perspective for source localization with sensor arrays
    • Malioutov D., Cetin M., and Willsky A. A sparse signal reconstruction perspective for source localization with sensor arrays. IEEE Transactions on Signal Processing 53 8 (2005) 3010-3022
    • (2005) IEEE Transactions on Signal Processing , vol.53 , Issue.8 , pp. 3010-3022
    • Malioutov, D.1    Cetin, M.2    Willsky, A.3
  • 36
    • 36849088522 scopus 로고    scopus 로고
    • Sparse MRI: The application of compressed sensing for rapid MR imaging
    • Lustig M., Donoho D., and Pauly J. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magnetic Resonance in Medicine 58 6 (2007) 1182-1195
    • (2007) Magnetic Resonance in Medicine , vol.58 , Issue.6 , pp. 1182-1195
    • Lustig, M.1    Donoho, D.2    Pauly, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.