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Volumn 2012, Issue 1, 2012, Pages

Target detection performance bounds in compressive imaging

Author keywords

i p value; Anomaly detection; Compressive sensing; False discovery rate; Incoherent projections; Target detection

Indexed keywords

ANOMALY DETECTION; COMPRESSIVE SENSING; FALSE DISCOVERY RATE; INCOHERENT PROJECTIONS; P-VALUES;

EID: 84887117297     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1186/1687-6180-2012-205     Document Type: Article
Times cited : (7)

References (58)
  • 1
    • 33947416035 scopus 로고    scopus 로고
    • Near-optimal signal recovery from random projections: Universal encoding strategies?
    • DOI 10.1109/TIT.2006.885507
    • Candès EJ, Tao T: Near-optimal signal recovery from random projections: universal encoding strategies? IEEE Trans. Inf. Theory 2006,52(12):5406-5425. (Pubitemid 46445381)
    • (2006) IEEE Transactions on Information Theory , vol.52 , Issue.12 , pp. 5406-5425
    • Candes, E.J.1    Tao, T.2
  • 2
    • 33645712892 scopus 로고    scopus 로고
    • Compressed sensing
    • 2241189 10.1109/TIT.2006.871582
    • Donoho D: Compressed sensing. IEEE Trans. Info. Theory 2006,52(4):1289-1306.
    • (2006) IEEE Trans. Info. Theory , vol.52 , Issue.4 , pp. 1289-1306
    • Donoho, D.1
  • 6
    • 77956674627 scopus 로고    scopus 로고
    • Information theoretic bounds for compressed sensing
    • 2808668 10.1109/TIT.2010.2059891
    • Aeron S, Saligrama V, Zhao M: Information theoretic bounds for compressed sensing. Inf. IEEE Trans. Theory 2010,56(10):5111-5130.
    • (2010) Inf. IEEE Trans. Theory , vol.56 , Issue.10 , pp. 5111-5130
    • Aeron, S.1    Saligrama, V.2    Zhao, M.3
  • 7
    • 79959962124 scopus 로고    scopus 로고
    • Noise folding in compressed sensing
    • 10.1109/LSP.2011.2159837
    • Arias-Castro E, Eldar Y: Noise folding in compressed sensing. IEEE Signal Process. Lett 2011, 18:478-481.
    • (2011) IEEE Signal Process. Lett , vol.18 , pp. 478-481
    • Arias-Castro, E.1    Eldar, Y.2
  • 8
    • 33947099360 scopus 로고    scopus 로고
    • Fusion of color and infrared video for moving human detection
    • DOI 10.1016/j.patcog.2006.11.010, PII S003132030600478X
    • Han J, Bhanu B: Fusion of color and infrared video for moving human detection. Pattern Recogn 2007,40(6):1771-1784. (Pubitemid 46399786)
    • (2007) Pattern Recognition , vol.40 , Issue.6 , pp. 1771-1784
    • Han, J.1    Bhanu, B.2
  • 11
    • 0032157733 scopus 로고    scopus 로고
    • Determining forest species composition using high spectral resolution remote sensing data
    • DOI 10.1016/S0034-4257(98)00035-2, PII S0034425798000352
    • Martin M, Newman S, Aber J, Congalton R: Determining forest species composition using high spectral resolution remote sensing data. Remote Sens. Envir 1998,65(3):249-254. (Pubitemid 29360701)
    • (1998) Remote Sensing of Environment , vol.65 , Issue.3 , pp. 249-254
    • Martin, M.E.1    Newman, S.D.2    Aber, J.D.3    Congalton, R.G.4
  • 13
  • 15
    • 40949095317 scopus 로고    scopus 로고
    • Intraoperative bile duct visualization using near-infrared hyperspectral video imaging
    • DOI 10.1016/j.amjsurg.2007.05.044, PII S0002961008000172
    • Zuzak K, Naik S, Alexandrakis G, Hawkins D, Behbehani K, Livingston E: Intraoperative bile duct visualization using near-infrared hyperspectral video imaging. Am. J. Surg 2008,195(4):491-497. (Pubitemid 351417473)
    • (2008) American Journal of Surgery , vol.195 , Issue.4 , pp. 491-497
    • Zuzak, K.J.1    Naik, S.C.2    Alexandrakis, G.3    Hawkins, D.4    Behbehani, K.5    Livingston, E.6
  • 16
    • 33747358314 scopus 로고    scopus 로고
    • Compressive imaging spectrometers using coded apertures
    • Kissimmee, Florida
    • Brady D, Gehm M: Compressive imaging spectrometers using coded apertures. Proc. of SPIE, vol. 6246 (Kissimmee, Florida, 2006), pp. 62460A-1-62460A-9
    • (2006) Proc. of SPIE , vol.6246
    • Brady, D.1    Gehm, M.2
  • 18
    • 35348961052 scopus 로고    scopus 로고
    • Single-shot compressive spectral imaging with a dual-disperser architecture
    • DOI 10.1364/OE.15.014013
    • Gehm M, John R, Brady D, Willett R, Schulz T: Single-shot compressive spectral imaging with a dual-disperser architecture. Opt. Express 2007,15(21):14013-14027. (Pubitemid 47608612)
    • (2007) Optics Express , vol.15 , Issue.21 , pp. 14013-14027
    • Gehm, M.E.1    John, R.2    Brady, D.J.3    Willett, R.M.4    Schulz, T.J.5
  • 20
    • 47849083178 scopus 로고    scopus 로고
    • Single disperser design for coded aperture snapshot spectral imaging
    • 10.1364/AO.47.000B44
    • Wagadarikar A, John R, Willett R, Brady D: Single disperser design for coded aperture snapshot spectral imaging. Appl. Opt 2008,47(10):B44-B51.
    • (2008) Appl. Opt , vol.47 , Issue.10
    • Wagadarikar, A.1    John, R.2    Willett, R.3    Brady, D.4
  • 22
    • 17644371466 scopus 로고    scopus 로고
    • Hyperspectral image processing for automatic target detection applications
    • Manolakis D, Marden D, Shaw G: Hyperspectral image processing for automatic target detection applications. Lincoln Laboratory J 2003,14(1):79-116.
    • (2003) Lincoln Laboratory J , vol.14 , Issue.1 , pp. 79-116
    • Manolakis, D.1    Marden, D.2    Shaw, G.3
  • 24
    • 51849083081 scopus 로고    scopus 로고
    • Geometric entropy minimization (GEM) for anomaly detection and localization
    • (MIT Press, Vancouver, Canada, 2006)
    • Hero AO: Geometric entropy minimization (GEM) for anomaly detection and localization. Proc. Advances in Neural Information Processing Systems (NIPS) (MIT Press, Vancouver, Canada, 2006), pp. 585-592
    • Proc. Advances in Neural Information Processing Systems (NIPS) , pp. 585-592
    • Hero, A.O.1
  • 25
    • 21844462364 scopus 로고    scopus 로고
    • A classification framework for anomaly detection
    • 2249820 1222.68309
    • Steinwart I, Hush D, Scovel C: A classification framework for anomaly detection. J. Mach. Learn. Res 2005, 6:211-232.
    • (2005) J. Mach. Learn. Res , vol.6 , pp. 211-232
    • Steinwart, I.1    Hush, D.2    Scovel, C.3
  • 27
    • 85032751277 scopus 로고    scopus 로고
    • Detection algorithms for hyperspectral imaging applications
    • DOI 10.1109/79.974724
    • Manolakis D, Shaw G: Detection algorithms for hyperspectral imaging applications. IEEE Signal Process. Mag 2002,19(1):29-43. (Pubitemid 34237206)
    • (2002) IEEE Signal Processing Magazine , vol.19 , Issue.1 , pp. 29-43
    • Manolakis, D.G.1    Shaw, G.2
  • 29
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • 1325392 0809.62014
    • Benjamini Y, Hochberg Y: Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Stat. Soc. Ser. B (Methodological) 1995,57(1):289-300.
    • (1995) J. R. Stat. Soc. Ser. B (Methodological) , vol.57 , Issue.1 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 30
    • 69949138125 scopus 로고    scopus 로고
    • A comparative study of target detection algorithms for hyperspectral imagery
    • Jin X, Paswaters S, Cline H: A comparative study of target detection algorithms for hyperspectral imagery. Proceedings of SPIE, vol. 7334 (2009), p. 73341W
    • (2009) Proceedings of SPIE , vol.7334
    • Jin, X.1    Paswaters, S.2    Cline, H.3
  • 31
    • 0022686270 scopus 로고
    • An adaptive detection algorithm
    • 10.1109/TAES.1986.310745
    • Kelly E: An adaptive detection algorithm. IEEE Trans. Aerospace Electron. Syst. AES- 1986,22(2):115-127.
    • (1986) IEEE Trans. Aerospace Electron. Syst. AES , vol.22 , Issue.2 , pp. 115-127
    • Kelly, E.1
  • 38
    • 84255178228 scopus 로고    scopus 로고
    • Anomaly detection and reconstruction from random projections
    • 2918964 10.1109/TIP.2011.2159730
    • Fowler J, Du Q: Anomaly detection and reconstruction from random projections. IEEE Trans. Image Process 2012,21(1):184-195.
    • (2012) IEEE Trans. Image Process , vol.21 , Issue.1 , pp. 184-195
    • Fowler, J.1    Du, Q.2
  • 39
    • 0025508756 scopus 로고
    • Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution
    • 10.1109/29.60107
    • Reed I, Yu X: Adaptive multiple-band CFAR detection of an optical pattern with unknown spectral distribution. IEEE Trans. Acoust. Speech Signal Process 1990,38(10):1760-1770.
    • (1990) IEEE Trans. Acoust. Speech Signal Process , vol.38 , Issue.10 , pp. 1760-1770
    • Reed, I.1    Yu, X.2
  • 43
    • 84887063313 scopus 로고    scopus 로고
    • Template matching via L1 minimization and its application to hyperspectral data
    • Guo Z, Osher S: Template matching via L1 minimization and its application to hyperspectral data. Accepted to Inverse Problems and Imaging (IPI), 2009
    • (2009) Inverse Problems and Imaging (IPI)
    • Guo, Z.1    Osher, S.2
  • 44
    • 13144293109 scopus 로고    scopus 로고
    • Kernel RX-algorithm: A nonlinear anomaly detector for hyperspectral imagery
    • DOI 10.1109/TGRS.2004.841487
    • Kwon H, Nasrabadi N: Kernel RX-algorithm: a nonlinear anomaly detector for hyperspectral imagery. IEEE Trans. Geosci. Remote Sens 2005,43(2):388-397. (Pubitemid 40178510)
    • (2005) IEEE Transactions on Geoscience and Remote Sensing , vol.43 , Issue.2 , pp. 388-397
    • Kwon, H.1    Nasrabadi, N.M.2
  • 45
    • 78651110110 scopus 로고    scopus 로고
    • A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing
    • Hongkong
    • Szlam A, Guo Z, Osher S: A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing. IEEE 17th International Conference on Image Processing (ICIP) (Hongkong, 2010), pp. 1917-1920
    • (2010) IEEE 17th International Conference on Image Processing (ICIP) , pp. 1917-1920
    • Szlam, A.1    Guo, Z.2    Osher, S.3
  • 46
    • 79957458287 scopus 로고    scopus 로고
    • Virtual dimensionality for hyperspectral imagery
    • 2.1200909
    • Chang C: Virtual dimensionality for hyperspectral imagery. SPIE Newsroom 2009,10(2.1200909):1749.
    • (2009) SPIE Newsroom , vol.10 , pp. 1749
    • Chang, C.1
  • 47
    • 1842481516 scopus 로고    scopus 로고
    • Estimation of number of spectrally distinct signal sources in hyperspectral imagery
    • 10.1109/TGRS.2003.819189
    • Chang C, Du Q: Estimation of number of spectrally distinct signal sources in hyperspectral imagery. IEEE Trans. Geosci. Remote Sens 2004,42(3):608-619.
    • (2004) IEEE Trans. Geosci. Remote Sens , vol.42 , Issue.3 , pp. 608-619
    • Chang, C.1    Du, Q.2
  • 48
    • 0345822598 scopus 로고    scopus 로고
    • The positive false discovery rate: A Bayesian interpretation and the q-value
    • DOI 10.1214/aos/1074290335
    • Storey J: The positive false discovery rate: a Bayesian interpretation and the q-value. Ann. Stat 2003, 2013-2035. (Pubitemid 38293903)
    • (2003) Annals of Statistics , vol.31 , Issue.6 , pp. 2013-2035
    • Storey, J.D.1
  • 49
    • 0001654702 scopus 로고
    • Extensions of Lipschitz maps into a Hilbert space
    • 737400 0539.46017 10.1090/conm/026/737400
    • Johnson W, Lindenstrauss J: Extensions of Lipschitz maps into a Hilbert space. Contemp. Math 1984, 26:189-206.
    • (1984) Contemp. Math , vol.26 , pp. 189-206
    • Johnson, W.1    Lindenstrauss, J.2
  • 50
    • 0033225639 scopus 로고    scopus 로고
    • Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions
    • DOI 10.1109/36.803418
    • Healey G, Slater D: Models and methods for automated material identification in hyperspectral imagery acquired under unknown illumination and atmospheric conditions. IEEE Trans. Geosci. Remote Sens 1999,37(6):2706-2717. (Pubitemid 30519603)
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.6 , pp. 2706-2717
    • Healey, G.1
  • 52
    • 55649115527 scopus 로고    scopus 로고
    • A simple proof of the restricted isometry property for random matrices
    • 2453366 1177.15015 10.1007/s00365-007-9003-x
    • Baraniuk R, Davenport M, DeVore R, Wakin M: A simple proof of the restricted isometry property for random matrices. Constructive Approx 2008,28(3):253-263.
    • (2008) Constructive Approx , vol.28 , Issue.3 , pp. 253-263
    • Baraniuk, R.1    Davenport, M.2    Devore, R.3    Wakin, M.4
  • 53
    • 79960436599 scopus 로고    scopus 로고
    • New and improved johnson-lindenstrauss embeddings via the restricted isometry property
    • 2821584 1247.15019 10.1137/100810447 Arxiv preprint arXiv:1009.0744, 2010
    • Krahmer F, Ward R: New and improved johnson-lindenstrauss embeddings via the restricted isometry property. SIAM Journal on Mathematical Analysis 2011,43(3):1269-1281. Arxiv preprint arXiv:1009.0744, 2010
    • (2011) SIAM Journal on Mathematical Analysis , vol.43 , Issue.3 , pp. 1269-1281
    • Krahmer, F.1    Ward, R.2
  • 55
    • 33645288547 scopus 로고    scopus 로고
    • On random α 1 matrices: Singularity and determinant
    • DOI 10.1002/rsa.20109
    • Tao T, Vu V: On random±1 matrices: singularity and determinant. Random Struct. Algor 2006,28(1):1-23. (Pubitemid 43468939)
    • (2006) Random Structures and Algorithms , vol.28 , Issue.1 , pp. 1-23
    • Tao, T.1    Vu, V.2
  • 56
    • 84887077962 scopus 로고    scopus 로고
    • Accessed on 08/03/2012
    • Tao T: Talagrand's concentration inequality,. http://terrytao.wordpress. com/2009/06/09/talagrands-concentration-inequality/. Accessed on 08/03/2012
    • Talagrand's Concentration Inequality
    • Tao, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.