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Volumn 30, Issue 9, 2009, Pages 2411-2427

Land use qualities identified in remotely-sensed images

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); SATELLITE IMAGERY; SEMANTICS;

EID: 70449435505     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802552694     Document Type: Article
Times cited : (11)

References (14)
  • 1
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    • Contextual classification in image analysis: An assessment of accuracy of ICM
    • ARBIA, G., BENEDETTI, R. and ESPA, G., 1999, Contextual classification in image analysis: an assessment of accuracy of ICM. Computational Statistics and Data Analysis, 30, pp. 443-455.
    • (1999) Computational Statistics and Data Analysis , vol.30 , pp. 443-455
    • Arbia, G.1    Benedetti, R.2    Espa, G.3
  • 2
    • 0030458167 scopus 로고    scopus 로고
    • Inferring urban land use from satellite sensor images using kernel-based spatial reclassification
    • BARNSLEY, M.J. and BARR, S.L., 1996, Inferring urban land use from satellite sensor images using kernel-based spatial reclassification. Photogrammetric Engineering and Remote Sensing, 62, pp. 949-958.
    • (1996) Photogrammetric Engineering and Remote Sensing , vol.62 , pp. 949-958
    • Barnsley, M.J.1    Barr, S.L.2
  • 4
    • 0037382547 scopus 로고    scopus 로고
    • Automated analysis of ultra high-resolution remote-sensing data for biotope type mapping: New possibilities and challenges
    • EHLERS, M., GÄHLER, M. and JANOWSKY, R., 2003, Automated analysis of ultra high-resolution remote-sensing data for biotope type mapping: new possibilities and challenges. Journal of Photogrammetry and Remote Sensing, 57, pp. 325-326.
    • (2003) Journal of Photogrammetry and Remote Sensing , vol.57 , pp. 325-326
    • Ehlers, M.1    Gähler, M.2    Janowsky, R.3
  • 5
    • 33750450497 scopus 로고    scopus 로고
    • An automated satellite image-classification design using object-oriented segmentation algoritms: A move towards standardization
    • GAMANAYA, R., DE MAEYER, P. and DE PAPPER, M., 2007, An automated satellite image-classification design using object-oriented segmentation algoritms: a move towards standardization. Expert Systems with Applications, 32, pp. 616-624.
    • (2007) Expert Systems with Applications , vol.32 , pp. 616-624
    • Gamanaya, R.1    de Maeyer, P.2    de Papper, M.3
  • 6
    • 0026613605 scopus 로고
    • Land use classification of SPOT HRV data using a cover-frequency method
    • GONG, P. and HOWARTH, P.J., 1992, Land use classification of SPOT HRV data using a cover-frequency method. International Journal of Remote Sensing, 13, pp. 1459-1471.
    • (1992) International Journal of Remote Sensing , vol.13 , pp. 1459-1471
    • Gong, P.1    Howarth, P.J.2
  • 7
    • 0020587588 scopus 로고
    • The use of contextual information in the classification of remote sensed data
    • GURNEY, M.C. and TOWNSHED, J.R.G., 1983, The use of contextual information in the classification of remote sensed data. Photogrammetric Engineering and Remote Sensing, 49, pp. 55-64.
    • (1983) Photogrammetric Engineering and Remote Sensing , vol.49 , pp. 55-64
    • Gurney, M.C.1    Townshed, J.R.G.2
  • 11
    • 0037934720 scopus 로고    scopus 로고
    • Information fusion for rural land-use classification with high-resolution satellite imagery
    • SUN, W., HEIDT, V., GONG, P. and XU, G., 2003, Information fusion for rural land-use classification with high-resolution satellite imagery. IEEE Transactions on Geoscience and Remote Sensing, 41(4), pp. 883-890.
    • (2003) IEEE Transactions on Geoscience and Remote Sensing , vol.41 , Issue.4 , pp. 883-890
    • Sun, W.1    Heidt, V.2    Gong, P.3    Xu, G.4
  • 12
    • 70449347162 scopus 로고    scopus 로고
    • Using the Spatial Reclassification Kernel to Classify Heterogeneous Vegetation from Dais Images. Department of Physical Geography, Faculty of Geographical Sciences, Utrecht University
    • WALSTRA, J. and VAN DER KWAST, J., 2001, Contextual Vegetation Classification. Using the Spatial Reclassification Kernel to Classify Heterogeneous Vegetation from Dais Images. Department of Physical Geography, Faculty of Geographical Sciences, Utrecht University.
    • (2001) Contextual Vegetation Classification
    • Walstra, J.1    van der Kwast, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.