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Volumn 39, Issue , 2012, Pages 467-472

Feature modelling of high resolution remote sensing images considering spatial autocorrelation

Author keywords

Feature; High resolution; Modelling; Segmentation; Spatial autocorrelation

Indexed keywords


EID: 84924296522     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (10)
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    • (2008) IEEE Transactions on Geoscience and Remote Sensing , vol.46 , Issue.7 , pp. 2097-2111
    • Akcay, H.G.1    Aksoy, S.2
  • 2
    • 73749086442 scopus 로고    scopus 로고
    • Definition of a comprehensive set of texture semivariogram features and their evaluation for object-oriented image classification
    • Balaguer, A., Ruiz, L. A., Hermosilla, T. & Recio, J. A., 2010. Definition of a comprehensive set of texture semivariogram features and their evaluation for object-oriented image classification. Computers & Geosciences, 36(2), pp. 231-240.
    • (2010) Computers & Geosciences , vol.36 , Issue.2 , pp. 231-240
    • Balaguer, A.1    Ruiz, L.A.2    Hermosilla, T.3    Recio, J.A.4
  • 4
    • 80052157655 scopus 로고    scopus 로고
    • A framework for the segmentation of high-resolution satellite imagery using modified seeded-region growing and region merging
    • Byun, Y., Kim, D., Lee, J. & Kim, Y., 2011. A framework for the segmentation of high-resolution satellite imagery using modified seeded-region growing and region merging. International Journal of Remote Sensing, 32(16), pp. 4589-4609.
    • (2011) International Journal of Remote Sensing , vol.32 , Issue.16 , pp. 4589-4609
    • Byun, Y.1    Kim, D.2    Lee, J.3    Kim, Y.4
  • 5
    • 0029731854 scopus 로고    scopus 로고
    • Automated derivation of geographic window sizes for use in remote sensing digital image texture analysis
    • Franklin, S. E., Wulder, M. A. & Lavigne, M. B., 1996. Automated derivation of geographic window sizes for use in remote sensing digital image texture analysis. Computers & Geosciences, 22(6), pp. 665-673.
    • (1996) Computers & Geosciences , vol.22 , Issue.6 , pp. 665-673
    • Franklin, S.E.1    Wulder, M.A.2    Lavigne, M.B.3
  • 6
    • 79957819255 scopus 로고    scopus 로고
    • Unsupervised image segmentation evaluation and refinement using a multi-scale approach
    • Johnson, B. & Xie, Z., 2011. Unsupervised image segmentation evaluation and refinement using a multi-scale approach. ISPRS Journal of Photogrammetry & Remote Sensing, 66(4), pp. 473-483.
    • (2011) ISPRS Journal of Photogrammetry & Remote Sensing , vol.66 , Issue.4 , pp. 473-483
    • Johnson, B.1    Xie, Z.2
  • 7
    • 84859777803 scopus 로고    scopus 로고
    • Remote sensing image analysis and geostatistics
    • Meer, F. V., 2012. Remote sensing image analysis and geostatistics. International Journal of Remote Sensing, 33(18), pp. 5644-5676.
    • (2012) International Journal of Remote Sensing , vol.33 , Issue.18 , pp. 5644-5676
    • Meer, F.V.1
  • 8
    • 36749075515 scopus 로고    scopus 로고
    • Employing spatial metrics in Urban Land-use/land-cover mapping: Comparing the getis and geary indices
    • Myint, S. W., Wentz, E. A. & Purkis, S. J., 2007. Employing spatial metrics in urban land-use/land-cover mapping: comparing the Getis and Geary indices. Photogrammetric Engineering & Remote Sensing, 73(12), pp. 1403-1415.
    • (2007) Photogrammetric Engineering & Remote Sensing , vol.73 , Issue.12 , pp. 1403-1415
    • Myint, S.W.1    Wentz, E.A.2    Purkis, S.J.3
  • 9
    • 0029514351 scopus 로고
    • Local spatial autocorrelation statistics: Distributional issues and an application
    • Ord, J. K. & Getis, A., 1995. Local spatial autocorrelation statistics: distributional issues and an application. Geographical Analysis, 27(4), pp. 286-306.
    • (1995) Geographical Analysis , vol.27 , Issue.4 , pp. 286-306
    • Ord, J.K.1    Getis, A.2
  • 10
    • 0032551512 scopus 로고    scopus 로고
    • Local spatial autocorrelation characteristics of remotely sensed imagery assessed with the getis statistic
    • Wulder, M. & Boots, B., 1998. Local spatial autocorrelation characteristics of remotely sensed imagery assessed with the Getis statistic. International Journal of Remote Sensing, 19(11), pp. 2223-2231
    • (1998) International Journal of Remote Sensing , vol.19 , Issue.11 , pp. 2223-2231
    • Wulder, M.1    Boots, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.