메뉴 건너뛰기




Volumn 20, Issue 1, 2012, Pages 77-85

Supervised change detection in VHR images using contextual information and support vector machines

Author keywords

Change detection; Graylevel co occurrence matrix; Mathematical morphology; Support vector machines; Very high resolution

Indexed keywords

IMAGE ANALYSIS; IMAGE RESOLUTION; NUMERICAL METHOD; QUICKBIRD; SPATIAL ANALYSIS;

EID: 84863479380     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2011.10.013     Document Type: Article
Times cited : (255)

References (33)
  • 1
    • 0029273845 scopus 로고
    • An investigation of the textural characteristics associated with gray level co-occurrence matrix statistical parameters
    • Baraldi, A., Parmiggiani, F., 1995. An investigation of the textural characteristics associated with gray level co-occurrence matrix statistical parameters. IEEE Trans. Geosci. Remote Sens. 33, 293-304.
    • (1995) IEEE Trans. Geosci. Remote Sens. , vol.33 , pp. 293-304
    • Baraldi, A.1    Parmiggiani, F.2
  • 2
    • 14644412366 scopus 로고    scopus 로고
    • Classification of hyperspectral data from urban areas based on extended morphological profiles
    • Benediktsson, J., Palmason, J.A., Sveinsson, J.R., 2005. Classification of hyperspectral data from urban areas based on extended morphological profiles. IEEE Trans. Geosci. Remote Sens. 43, 480-490.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , pp. 480-490
    • Benediktsson, J.1    Palmason, J.A.2    Sveinsson, J.R.3
  • 4
    • 58149483518 scopus 로고    scopus 로고
    • A multilevel parcel-based approach to change detection in very high resolution multitemporal images
    • Bovolo, F., 2009. A multilevel parcel-based approach to change detection in very high resolution multitemporal images. IEEE Geosci. Remote Sens. Lett. 6, 33-38.
    • (2009) IEEE Geosci. Remote Sens. Lett. , vol.6 , pp. 33-38
    • Bovolo, F.1
  • 5
    • 33846223394 scopus 로고    scopus 로고
    • A theoretical framework for unsupervised change detection based on change vector analysis in polar domain
    • Bovolo, F., Bruzzone, L., 2007. A theoretical framework for unsupervised change detection based on change vector analysis in polar domain. IEEE Trans. Geosci. Remote Sens. 45, 218-236.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , pp. 218-236
    • Bovolo, F.1    Bruzzone, L.2
  • 6
    • 45849126857 scopus 로고    scopus 로고
    • A novel approach to unsupervised change detection based on a semi-supervised SVM and a similarity measure
    • Bovolo, F., Bruzzone, L., Marconcini, M., 2008. A novel approach to unsupervised change detection based on a semi-supervised SVM and a similarity measure. IEEE Trans. Geosci. Remote Sens. 46, 2070-2082.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , pp. 2070-2082
    • Bovolo, F.1    Bruzzone, L.2    Marconcini, M.3
  • 7
    • 77953132953 scopus 로고    scopus 로고
    • A support vector domain method for change detection in multitemporal images
    • Bovolo, F., Camps-Valls, G., Bruzzone, L., 2010. A support vector domain method for change detection in multitemporal images. Pattern Recognit. Lett. 31, 1148-1154.
    • (2010) Pattern Recognit. Lett. , vol.31 , pp. 1148-1154
    • Bovolo, F.1    Camps-Valls, G.2    Bruzzone, L.3
  • 8
    • 33748331356 scopus 로고    scopus 로고
    • A multilevel context-based system for classification of very high spatial resolution images
    • Bruzzone, L., Carlin, L., 2006. A multilevel context-based system for classification of very high spatial resolution images. IEEE Trans. Geosci. Remote Sens. 44, 2587-2892.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , pp. 2587-2892
    • Bruzzone, L.1    Carlin, L.2
  • 9
    • 0033707763 scopus 로고    scopus 로고
    • Automatic analysis of the difference image for unsupervised change detection
    • Bruzzone, L., Fernández-Prieto, D., 2000. Automatic analysis of the difference image for unsupervised change detection. IEEE Trans. Geosci. Remote Sens. 38, 1171-1182.
    • (2000) IEEE Trans. Geosci. Remote Sens. , vol.38 , pp. 1171-1182
    • Bruzzone, L.1    Fernández-Prieto, D.2
  • 10
  • 14
    • 47849131596 scopus 로고    scopus 로고
    • An unsupervised technique based on morphological filters for change detection in very high resolution images
    • Dalla Mura, M., Benediktsson, J.A., Bovolo, F., Bruzzone, L., 2008. An unsupervised technique based on morphological filters for change detection in very high resolution images. IEEE Trans. Geosci. Remote Sens. 5, 433-437.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.5 , pp. 433-437
    • Dalla Mura, M.1    Benediktsson, J.A.2    Bovolo, F.3    Bruzzone, L.4
  • 15
    • 56849127860 scopus 로고    scopus 로고
    • Spectral and spatial classification of hyperspectral data using svms and morphological profiles
    • Fauvel, M., Benediktsson, J.A., Chanussot, J., Sveinsson, J.R., 2008. Spectral and spatial classification of hyperspectral data using svms and morphological profiles. IEEE Trans. Geosci. Remote Sens. 46, 3804-3814.
    • (2008) IEEE Trans. Geosci. Remote Sens. , vol.46 , pp. 3804-3814
    • Fauvel, M.1    Benediktsson, J.A.2    Chanussot, J.3    Sveinsson, J.R.4
  • 16
    • 3042661357 scopus 로고    scopus 로고
    • Thematic map comparison: evaluating the statistical significance of differences in classification accuracy
    • Foody, G.M., 2004. Thematic map comparison: evaluating the statistical significance of differences in classification accuracy. Photogramm. Eng. Remote Sens. 70, 627-633.
    • (2004) Photogramm. Eng. Remote Sens. , vol.70 , pp. 627-633
    • Foody, G.M.1
  • 18
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognizers
    • Hughes, G., 1968. On the mean accuracy of statistical pattern recognizers. IEEE Trans. Inf. Theory 14, 55-63.
    • (1968) IEEE Trans. Inf. Theory , vol.14 , pp. 55-63
    • Hughes, G.1
  • 19
    • 34447267238 scopus 로고    scopus 로고
    • Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features
    • Inglada, J., 2007. Automatic recognition of man-made objects in high resolution optical remote sensing images by SVM classification of geometric image features. ISPRS J. Photogramm. Remote Sens. 62, 236-248.
    • (2007) ISPRS J. Photogramm. Remote Sens. , vol.62 , pp. 236-248
    • Inglada, J.1
  • 21
    • 77950368692 scopus 로고    scopus 로고
    • Texture-based classification of sub-Antarctic vegetation communities on Heard Island
    • Murray, H., Lucieer, A., Williams, R., 2010. Texture-based classification of sub-Antarctic vegetation communities on Heard Island. Int. J. Appl. Earth Obs. Geoinf. 12, 138-149.
    • (2010) Int. J. Appl. Earth Obs. Geoinf. , vol.12 , pp. 138-149
    • Murray, H.1    Lucieer, A.2    Williams, R.3
  • 22
    • 33846007269 scopus 로고    scopus 로고
    • Multiple support vector machines for land cover change detection: an application for mapping urban extensions
    • Nemmour, H., Chibani, Y., 2006. Multiple support vector machines for land cover change detection: an application for mapping urban extensions. J. Photogramm. Remote Sens. 61, 125-133.
    • (2006) J. Photogramm. Remote Sens. , vol.61 , pp. 125-133
    • Nemmour, H.1    Chibani, Y.2
  • 23
    • 64549105242 scopus 로고    scopus 로고
    • A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification
    • Pacifici, F., Chini, M., Emery, W., 2009. A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification. Remote Sens. Environ. 113, 1276-1292.
    • (2009) Remote Sens. Environ. , vol.113 , pp. 1276-1292
    • Pacifici, F.1    Chini, M.2    Emery, W.3
  • 27
    • 0024855524 scopus 로고
    • Digital change detection techniques using remotely-sensed data
    • Singh, A., 1989. Digital change detection techniques using remotely-sensed data. Int. J. Remote Sens. 10, 989-1003.
    • (1989) Int. J. Remote Sens. , vol.10 , pp. 989-1003
    • Singh, A.1
  • 29
    • 0036762736 scopus 로고    scopus 로고
    • Advances in mathematical morphology applied to geoscience and remote sensing
    • Soille, P., Pesaresi, M., 2002. Advances in mathematical morphology applied to geoscience and remote sensing. IEEE Trans. Geosci. Remote Sens. 40, 2042-2055.
    • (2002) IEEE Trans. Geosci. Remote Sens. , vol.40 , pp. 2042-2055
    • Soille, P.1    Pesaresi, M.2
  • 30
    • 70350655559 scopus 로고    scopus 로고
    • Classification of very high spatial resolution imagery using mathematical morphology and support vector machines
    • Tuia, D., Pacifici, F., Kanevski, M., Emery, W.J., 2009. Classification of very high spatial resolution imagery using mathematical morphology and support vector machines. IEEE Trans. Geosci. Remote Sens. 47, 3866-3879.
    • (2009) IEEE Trans. Geosci. Remote Sens. , vol.47 , pp. 3866-3879
    • Tuia, D.1    Pacifici, F.2    Kanevski, M.3    Emery, W.J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.