메뉴 건너뛰기




Volumn 6748, Issue , 2007, Pages

Comparative analysis of hyperspectral anomaly detection strategies on a new high spatial and spectral resolution data set

Author keywords

Anomaly detection; Background suppression; High spatial resolution; Hyperspectral sensors

Indexed keywords

ANOMALY DETECTION; BACKGROUND SUPPRESSION; HIGH SPATIAL RESOLUTION; HYPERSPECTRAL SENSORS;

EID: 42449156759     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.738062     Document Type: Conference Paper
Times cited : (10)

References (15)
  • 1
    • 17644371466 scopus 로고    scopus 로고
    • Hyperspectral Image Processing for Automatic Target Detection Applications
    • D. Manolakis, D. Marden, G. A. Shaw, "Hyperspectral Image Processing for Automatic Target Detection Applications", IEEE Signal Process. Mag., 14(1), 79-116 (2003).
    • (2003) IEEE Signal Process. Mag , vol.14 , Issue.1 , pp. 79-116
    • Manolakis, D.1    Marden, D.2    Shaw, G.A.3
  • 3
    • 0025508756 scopus 로고
    • Adaptive Multiple-Band CFAR Detection of An Optical Pattern with Unknown Spectral Distribution
    • I. S. Reed, X. Yu, "Adaptive Multiple-Band CFAR Detection of An Optical Pattern with Unknown Spectral Distribution", IEEE Trans. Acoust. Speech Signal Process., 38(10), 1760-1770 (1990).
    • (1990) IEEE Trans. Acoust. Speech Signal Process , vol.38 , Issue.10 , pp. 1760-1770
    • Reed, I.S.1    Yu, X.2
  • 4
    • 33748012768 scopus 로고    scopus 로고
    • Detection of Subpixel Anomalies in Multispectral Infrared Imagery Using an Adaptive Bayesian Classifier
    • E. A. Ashton, "Detection of Subpixel Anomalies in Multispectral Infrared Imagery Using an Adaptive Bayesian Classifier", IEEE Trans. Geosci. Remote Sens., 36(2), 506-517 (1998).
    • (1998) IEEE Trans. Geosci. Remote Sens , vol.36 , Issue.2 , pp. 506-517
    • Ashton, E.A.1
  • 5
    • 13144306114 scopus 로고    scopus 로고
    • A Cluster-Based Approach for Detecting Man-Made Objects and Changes in Imagery
    • M. J. Carlotto, "A Cluster-Based Approach for Detecting Man-Made Objects and Changes in Imagery", IEEE Trans. Geosci. Remote Sens., 43(2), 374-387 (2005).
    • (2005) IEEE Trans. Geosci. Remote Sens , vol.43 , Issue.2 , pp. 374-387
    • Carlotto, M.J.1
  • 6
    • 14644393596 scopus 로고    scopus 로고
    • Orthogonal Subspace Projection (OSP) Revisited: A Comprehensive Study and Analysis
    • C.-I. Chang, "Orthogonal Subspace Projection (OSP) Revisited: A Comprehensive Study and Analysis", IEEE Trans. Geosci. Remote Sens., 43(3), 502-518 (2005).
    • (2005) IEEE Trans. Geosci. Remote Sens , vol.43 , Issue.3 , pp. 502-518
    • Chang, C.-I.1
  • 7
    • 33746641760 scopus 로고    scopus 로고
    • Hyperspectral Anomaly Detection Within the Signal Subspace
    • K. I. Ranney, M. Soumekh, "Hyperspectral Anomaly Detection Within the Signal Subspace", IEEE Geosci. Remote Sens. Letters, 3(3), 312-316 (2006).
    • (2006) IEEE Geosci. Remote Sens. Letters , vol.3 , Issue.3 , pp. 312-316
    • Ranney, K.I.1    Soumekh, M.2
  • 9
    • 0027591549 scopus 로고
    • SEM Algorithm and Unsupervised Statistical Segmentation of Satellite Images
    • P. Masson,W. Pieczynski, "SEM Algorithm and Unsupervised Statistical Segmentation of Satellite Images", IEEE Trans Geosci. Remote Sens., 31(3), 618-633,1993.
    • (1993) IEEE Trans Geosci. Remote Sens , vol.31 , Issue.3 , pp. 618-633
    • Masson, P.1    Pieczynski, W.2
  • 10
    • 0028467206 scopus 로고
    • Hyperspectral Image Classification and Dimensionality Reduction: An Orthogonal Subspace Projection Approach
    • J. C. Harsanyi, C.-I. Chang, "Hyperspectral Image Classification and Dimensionality Reduction: An Orthogonal Subspace Projection Approach", IEEE Trans. Geosci. Remote Sens., 32(4), 779-785 (1994).
    • (1994) IEEE Trans. Geosci. Remote Sens , vol.32 , Issue.4 , pp. 779-785
    • Harsanyi, J.C.1    Chang, C.-I.2
  • 11
    • 0004030565 scopus 로고
    • Discrete Random Signals and Statistical Signal Processing
    • C. V. Therrien, Discrete Random Signals and Statistical Signal Processing, 50, Prentice-Hall Signal Processing, 1992.
    • (1992) Prentice-Hall Signal Processing , vol.50
    • Therrien, C.V.1
  • 12
    • 0042826822 scopus 로고    scopus 로고
    • Independent Component Analysis: Algorithms and Applications
    • A. Hyvärinen, E. Oja, "Independent Component Analysis: Algorithms and Applications", Neural Networks, 13(4-5), 411-430,2000.
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvärinen, A.1    Oja, E.2
  • 13
    • 0000263797 scopus 로고
    • Projection Pursuit
    • P. J. Huber, "Projection Pursuit", Ann. Statist., 13(2), 435-475,1985.
    • (1985) Ann. Statist , vol.13 , Issue.2 , pp. 435-475
    • Huber, P.J.1
  • 14
    • 13144293109 scopus 로고    scopus 로고
    • Kernel RX-Algorithm: A Nonlinear Anomaly Detector for Hyperspectral Imagery
    • H. Kwon, N.M. Nasrabadi, "Kernel RX-Algorithm: A Nonlinear Anomaly Detector for Hyperspectral Imagery", IEEE Trans. Geosci. Remote Sens., 43(2), 388-397 (2005).
    • (2005) IEEE Trans. Geosci. Remote Sens , vol.43 , Issue.2 , pp. 388-397
    • Kwon, H.1    Nasrabadi, N.M.2
  • 15
    • 33746885881 scopus 로고    scopus 로고
    • A Support Vector Method for Anomaly Detection in Hyperspectral Imagery
    • A. Banerjee, P. Burlina. C. Diehl, "A Support Vector Method for Anomaly Detection in Hyperspectral Imagery", IEEE Trans. Geosci. Remote Sens., 44(8), 2282-2291 (2006).
    • (2006) IEEE Trans. Geosci. Remote Sens , vol.44 , Issue.8 , pp. 2282-2291
    • Banerjee, A.1    Burlina, P.2    Diehl, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.