메뉴 건너뛰기




Volumn 35, Issue 19, 2014, Pages 6859-6873

The Jeffries–Matusita distance for the case of complex Wishart distribution as a separability criterion for fully polarimetric SAR data

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRIX; MAXIMUM PRINCIPLE; NORMAL DISTRIBUTION; POLARIMETERS; RADAR IMAGING; SEA ICE;

EID: 84908074422     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2014.960614     Document Type: Article
Times cited : (105)

References (18)
  • 3
    • 0029407869 scopus 로고
    • An Extension of the Jeffreys–Matusita Distance to Multiclass Cases for Feature Selection
    • Bruzzone, L., F. Roli, and S. Serpico. 1995. “An Extension of the Jeffreys–Matusita Distance to Multiclass Cases for Feature Selection.” IEEE Transactions on Geoscience and Remote Sensing 33 (6): 1318–1321. doi:10.1109/36.477187.
    • (1995) IEEE Transactions on Geoscience and Remote Sensing , vol.33 , Issue.6 , pp. 1318-1321
    • Bruzzone, L.1    Roli, F.2    Serpico, S.3
  • 4
    • 84867593985 scopus 로고    scopus 로고
    • Comparing Matrix Distance Measures for Unsupervised POLSAR Data Classification of Sea Ice Based on Agglomerative Clustering
    • Dabboor, M., J. Yackel, M. Hossain, and A. Braun. 2013. “Comparing Matrix Distance Measures for Unsupervised POLSAR Data Classification of Sea Ice Based on Agglomerative Clustering.” International Journal of Remote Sensing 34 (4): 1492–1505. doi:10.1080/01431161.2012.727040.
    • (2013) International Journal of Remote Sensing , vol.34 , Issue.4 , pp. 1492-1505
    • Dabboor, M.1    Yackel, J.2    Hossain, M.3    Braun, A.4
  • 5
    • 84880319207 scopus 로고    scopus 로고
    • An Unsupervised Classification Approach for Polarimetric SAR Data Based on the Chernoff Distance for Complex Wishart Distribution
    • Dabboor, M., M. Collins, V. Karathanassi, and A. Braun. 2013. “An Unsupervised Classification Approach for Polarimetric SAR Data Based on the Chernoff Distance for Complex Wishart Distribution.” IEEE Transactions on Geoscience and Remote Sensing 51 (7): 4200–4213. doi:10.1109/TGRS.2012.2227755.
    • (2013) IEEE Transactions on Geoscience and Remote Sensing , vol.51 , Issue.7 , pp. 4200-4213
    • Dabboor, M.1    Collins, M.2    Karathanassi, V.3    Braun, A.4
  • 7
    • 67651154162 scopus 로고    scopus 로고
    • Automatic Ground-Truth Validation with Genetic Algorithms for Multispectral Image Classification
    • Ghoggali, N., and F. Melgani. 2009. “Automatic Ground-Truth Validation with Genetic Algorithms for Multispectral Image Classification.” IEEE Transactions on Geoscience and Remote Sensing 47 (7): 2172–2181. doi:10.1109/TGRS.2009.2013693.
    • (2009) IEEE Transactions on Geoscience and Remote Sensing , vol.47 , Issue.7 , pp. 2172-2181
    • Ghoggali, N.1    Melgani, F.2
  • 8
    • 84865717125 scopus 로고    scopus 로고
    • Evaluation of C-band SAR Polarimetric Parameters for Discrimination of First-Year Sea Ice Types
    • Gill, J., and J. Yackel. 2012. “Evaluation of C-band SAR Polarimetric Parameters for Discrimination of First-Year Sea Ice Types.” Canadian Journal of Remote Sensing 38 (3): 306–323. doi:10.5589/m12-025.
    • (2012) Canadian Journal of Remote Sensing , vol.38 , Issue.3 , pp. 306-323
    • Gill, J.1    Yackel, J.2
  • 10
    • 0033357270 scopus 로고    scopus 로고
    • Polarimetric SAR Speckle Filtering and its Implication for Classification
    • Lee, J.-S., M. R. Grunes, and G. De Grandi. 1999. “Polarimetric SAR Speckle Filtering and its Implication for Classification.” IEEE Transactions on Geoscience and Remote Sensing 37 (5): 2363–2373. doi:10.1109/36.789635.
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.5 , pp. 2363-2373
    • Lee, J.-S.1    Grunes, M.R.2    De Grandi, G.3
  • 11
    • 0028562850 scopus 로고
    • Classification of Multi-Look Polarimetric SAR Imagery Based on Complex Wishart Distribution
    • Lee, J. S., M. R. Grunes, and R. Kwok. 1994. “Classification of Multi-Look Polarimetric SAR Imagery Based on Complex Wishart Distribution.” International Journal of Remote Sensing 15 (11): 2299–2311. doi:10.1080/01431169408954244.
    • (1994) International Journal of Remote Sensing , vol.15 , Issue.11 , pp. 2299-2311
    • Lee, J.S.1    Grunes, M.R.2    Kwok, R.3
  • 12
    • 0028496693 scopus 로고
    • Intensity and Phase Statistics of Multilook Polarimetric and Interferometric SAR Imagery
    • Lee, J.-S., K. W. Hoppel, S. A. Mango, and A. R. Miller. 1994. “Intensity and Phase Statistics of Multilook Polarimetric and Interferometric SAR Imagery.” IEEE Transactions on Geoscience and Remote Sensing 32 (5): 1017–1028. doi:10.1109/36.312890.
    • (1994) IEEE Transactions on Geoscience and Remote Sensing , vol.32 , Issue.5 , pp. 1017-1028
    • Lee, J.-S.1    Hoppel, K.W.2    Mango, S.A.3    Miller, A.R.4
  • 13
    • 84894048386 scopus 로고    scopus 로고
    • Generalized Bhattacharyya and Chernoff Upper Bounds on Bayes Error Using Quasi-Arithmetic Means
    • Nielsen, F. 2014. “Generalized Bhattacharyya and Chernoff Upper Bounds on Bayes Error Using Quasi-Arithmetic Means.” Pattern Recognition Letters 42 (1): 25–34. doi:10.1016/j.patrec.2014.01.002.
    • (2014) Pattern Recognition Letters , vol.42 , Issue.1 , pp. 25-34
    • Nielsen, F.1
  • 14
    • 10744232552 scopus 로고    scopus 로고
    • Sources of Error in Accuracy Assessment of Thematic Land-Cover Maps in the Brazilian Amazon
    • Powell, R. L., N. Matzke, C. D. Souza, M. Clark, I. Numata, L. L. Hess, and D. A. Roberts. 2004. “Sources of Error in Accuracy Assessment of Thematic Land-Cover Maps in the Brazilian Amazon.” Remote Sensing of Environment 90 (2): 221–234. doi:10.1016/j.rse.2003.12.007.
    • (2004) Remote Sensing of Environment , vol.90 , Issue.2 , pp. 221-234
    • Powell, R.L.1    Matzke, N.2    Souza, C.D.3    Clark, M.4    Numata, I.5    Hess, L.L.6    Roberts, D.A.7
  • 15
    • 77951223166 scopus 로고    scopus 로고
    • Classifying Polarimetric SAR Data by Combining Expectation Methods with Spatial Context
    • Reigber, A., M. Jäger, M. Neumann, and L. Ferro-Famil. 2010. “Classifying Polarimetric SAR Data by Combining Expectation Methods with Spatial Context.” International Journal of Remote Sensing 31 (3): 727–744. doi:10.1080/01431160902897809.
    • (2010) International Journal of Remote Sensing , vol.31 , Issue.3 , pp. 727-744
    • Reigber, A.1    Jäger, M.2    Neumann, M.3    Ferro-Famil, L.4
  • 17
    • 84864349714 scopus 로고    scopus 로고
    • Using a Genetic Algorithm as an Optimal Band Selector in the Mid and Thermal Infrared (2.5–14 µm) to Discriminate Vegetation Species
    • Ullah, S., T. A. Groen, M. Schlerf, A. K. Skidmore, W. Nieuwenhuis, and C. Vaiphasa. 2012. “Using a Genetic Algorithm as an Optimal Band Selector in the Mid and Thermal Infrared (2.5–14 µm) to Discriminate Vegetation Species.” Sensors 12 (7): 8755–8769. doi:10.3390/s120708755.
    • (2012) Sensors , vol.12 , Issue.7 , pp. 8755-8769
    • Ullah, S.1    Groen, T.A.2    Schlerf, M.3    Skidmore, A.K.4    Nieuwenhuis, W.5    Vaiphasa, C.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.