메뉴 건너뛰기




Volumn 4, Issue 1, 2002, Pages 53-68

Adjacency selection in Markov Random Fields for high spatial resolution hyperspectral data

Author keywords

Adjacency selection; Bayesian penalization rate; Hyperspectral data; Markov random fields; Pseudo likelihood

Indexed keywords

IMAGE ANALYSIS; PIXEL; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL RESOLUTION;

EID: 27344443977     PISSN: 14355930     EISSN: 14355949     Source Type: Journal    
DOI: 10.1007/s101090100074     Document Type: Review
Times cited : (10)

References (32)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike II (1974) A new look at the statistical model identification. IEEE Transactions on Automatic Control, AC-19:716-723
    • (1974) IEEE Transactions on Automatic Control , vol.AC-19 , pp. 716-723
    • Akaike, I.I.1
  • 3
    • 0000913755 scopus 로고
    • Spatial interactions and the statistical analysis of Lattice data
    • Besag JN (1974) Spatial interactions and the statistical analysis of Lattice data. Journal of the Royal Statistical Society B 36:192-225
    • (1974) Journal of the Royal Statistical Society B , vol.36 , pp. 192-225
    • Besag, J.N.1
  • 5
    • 0032230554 scopus 로고    scopus 로고
    • Hierarchical classification of SAR data using a Markov random field model
    • Tucson, AZ
    • Crawford MM, Ricard M (1998) Hierarchical classification of SAR data using a Markov random field model. Southwest Symposium on Image Processing, Tucson, AZ:81-86
    • (1998) Southwest Symposium on Image Processing , pp. 81-86
    • Crawford, M.M.1    Ricard, M.2
  • 10
    • 0032092907 scopus 로고    scopus 로고
    • On the quality of likelihood-based estimators in spatial autoregressive models when the data dependence structure is misspecified
    • Griffith DA, Lagona F (1998) On the quality of likelihood-based estimators in spatial autoregressive models when the data dependence structure is misspecified. Journal of Statistical Planning and Inference 69:153-174
    • (1998) Journal of Statistical Planning and Inference , vol.69 , pp. 153-174
    • Griffith, D.A.1    Lagona, F.2
  • 11
    • 0001001372 scopus 로고
    • The Chi2 difference of coding for testing Markov random field hypothesis
    • Barone P, Frigessi A (eds), Springer, NY
    • Guyon X, Hardoum C (1992) The Chi2 difference of coding for testing Markov random field hypothesis. In: Barone P, Frigessi A (eds) Lecture Notes of Statistics. 74, Springer, NY, pp. 165-176
    • (1992) Lecture Notes of Statistics , vol.74 , pp. 165-176
    • Guyon, X.1    Hardoum, C.2
  • 13
    • 0030222695 scopus 로고    scopus 로고
    • Classification of remote sensing images having high spectral resolution
    • Hoffbeck JP, Landgrebe D (1996) Classification of remote sensing images having high spectral resolution. Remote Sensing of Environment 57(3):119-126
    • (1996) Remote Sensing of Environment , vol.57 , Issue.3 , pp. 119-126
    • Hoffbeck, J.P.1    Landgrebe, D.2
  • 15
    • 0030509462 scopus 로고    scopus 로고
    • A consistent model selection procedure for Markov random fields based on penalized likelihood
    • Ji C, Seymnour L (1998) A consistent model selection procedure for Markov random fields based on penalized likelihood. Annals of Applied Probability 6:423-443
    • (1998) Annals of Applied Probability , vol.6 , pp. 423-443
    • Ji, C.1    Seymnour, L.2
  • 17
    • 0020498809 scopus 로고
    • Estimation and choice of neighbors in spatial interaction models of images
    • Kashyap R, Chellappa R (1983) Estimation and choice of neighbors in spatial interaction models of images. IEEE Transactions on Information Theory 29:60-72
    • (1983) IEEE Transactions on Information Theory , vol.29 , pp. 60-72
    • Kashyap, R.1    Chellappa, R.2
  • 20
    • 27344431528 scopus 로고    scopus 로고
    • Parametric restrictions in random fields for binary space-time series
    • Lagona F (2001) Parametric restrictions in random fields for binary space-time series. Metron 59:73-97
    • (2001) Metron , vol.59 , pp. 73-97
    • Lagona, F.1
  • 21
    • 0002075544 scopus 로고    scopus 로고
    • Information extraction principles and methods for multispectral and hyperspectral image data
    • Chen CH (ed). World Scientific Publishing Co, River Edge, NJ
    • Landgrebe D (2000) Information extraction principles and methods for multispectral and hyperspectral image data. In: Chen CH (ed) Information Processing for Remote Sensing. World Scientific Publishing Co, River Edge, NJ
    • (2000) Information Processing for Remote Sensing
    • Landgrebe, D.1
  • 22
    • 0033352802 scopus 로고    scopus 로고
    • Unsupervised classification for multi-sensor data in remote sensing using Markov random field and maximum entropy method
    • Hamburg, Germany
    • Lee S, Crawford MM (1999) Unsupervised classification for multi-sensor data in remote sensing using Markov random field and maximum entropy method. Proceedings of the 1999 International Geoscience and Remote Sensing Symposium, Hamburg, Germany:1200-1202
    • (1999) Proceedings of the 1999 International Geoscience and Remote Sensing Symposium , pp. 1200-1202
    • Lee, S.1    Crawford, M.M.2
  • 24
    • 0026899931 scopus 로고
    • Segmentation of polarimetric synthetic aperture radar data
    • Rignot E, Chellapa R (1992) Segmentation of polarimetric synthetic aperture radar data. IEEE Thansactions on Image Processing 1(3):281-300
    • (1992) IEEE Thansactions on Image Processing , vol.1 , Issue.3 , pp. 281-300
    • Rignot, E.1    Chellapa, R.2
  • 26
    • 0003053548 scopus 로고
    • Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods
    • Smith AFM and Roberts GO (1993) Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo methods (with discussion). Journal of the Royal Statistical Society B 55:3-23
    • (1993) Journal of the Royal Statistical Society B , vol.55 , pp. 3-23
    • Smith, A.F.M.1    Roberts, G.O.2
  • 27
    • 0031186538 scopus 로고    scopus 로고
    • Synthetic aperture radar image segmentation by a detail preserving Markov random field approach
    • Smits PC, Dellepiane SG (1997) Synthetic aperture radar image segmentation by a detail preserving Markov random field approach. IEEE Transactions on Geoscience and Remote Sensing 35(4):844-857
    • (1997) IEEE Transactions on Geoscience and Remote Sensing , vol.35 , Issue.4 , pp. 844-857
    • Smits, P.C.1    Dellepiane, S.G.2
  • 28
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwartz G (1978) Estimating the Dimension of a Model. Annals of Statistics 6:461-464
    • (1978) Annals of Statistics , vol.6 , pp. 461-464
    • Schwartz, G.1
  • 29
    • 0032771884 scopus 로고    scopus 로고
    • Modeling of the spatial facies distribution by Markov random fields
    • Baafi EY, Schofield NA (eds), Proceedings of the 5th International Geostatistical Congress, Wollongong, Australia, September 22-27, 1996, Kluwer Academic
    • Tjelmeland H (1996) Modeling of the spatial facies distribution by Markov random fields. In: Baafi EY, Schofield NA (eds) Geostatistics Wollongong '96, Proceedings of the 5th International Geostatistical Congress, Wollongong, Australia, September 22-27, 1996, Kluwer Academic pp. 512-523
    • (1996) Geostatistics Wollongong '96 , pp. 512-523
    • Tjelmeland, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.