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Volumn , Issue , 2009, Pages 107-110

Identification of agricultural and land cover database changes using object-oriented classification techniques

Author keywords

Agricultural databases; Feature extraction; High resolution images; Objectoriented classification; Structural features; Texture

Indexed keywords

DATA PREPROCESSING; DEVELOPMENT AND TESTING; GEO-SPATIAL DATABASE; HIGH RESOLUTION IMAGE; LAND USE/LAND COVER; OBJECT ORIENTED CLASSIFICATION; REMOTE SENSING DATA; STRUCTURAL FEATURE;

EID: 84879957264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (17)
  • 1
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    • Aplin, P, Atkinson, P.M., Curran, P.J., 1999. Fine Spatial Resolution Satellite Sensor Imagery for Land Cover Mapping in the United Kingdom. Remote Sensing of Environment, 68 (3), 206-216.
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    • Aplin, P.1    Atkinson, P.M.2    Curran, P.J.3
  • 2
    • 0034104554 scopus 로고    scopus 로고
    • The integration of spectral and textural information using neural networks for land cover mapping in the Mediterranean
    • Berberoglu, S., Lloyd, C.D., Atkinson, P.M., Curran, P.J., 2000. The integration of spectral and textural information using neural networks for land cover mapping in the Mediterranean. Computers and Geosciencies 26 (4), 385-396.
    • (2000) Computers and Geosciencies , vol.26 , Issue.4 , pp. 385-396
    • Berberoglu, S.1    Lloyd, C.D.2    Atkinson, P.M.3    Curran, P.J.4
  • 3
    • 21444438650 scopus 로고    scopus 로고
    • Efficiency of crop identification based on optical and SAR image time series
    • Blaes, X., Vanhalle, L., Defourny, P., 2005. Efficiency of crop identification based on optical and SAR image time series. Remote Sensing of Environment 96 (3-4), 352-365.
    • (2005) Remote Sensing of Environment , vol.96 , Issue.3-4 , pp. 352-365
    • Blaes, X.1    Vanhalle, L.2    Defourny, P.3
  • 6
    • 34648856188 scopus 로고    scopus 로고
    • Detecting informal settlements from Quickbird data in Rio de Janeiro using an object based approach
    • Salzburg University, Austria, 4-5 July 2006 (on CDROM)
    • Hofmann, P., Strobl, J., Blaschke, T., Kux, H., 2006. Detecting informal settlements from Quickbird data in Rio de Janeiro using an object based approach. 1st International Conference on Object-based Image Analysis (OBIA 2006), Salzburg University, Austria, 4-5 July 2006 (on CDROM).
    • (2006) 1st International Conference on Object-based Image Analysis (OBIA 2006)
    • Hofmann, P.1    Strobl, J.2    Blaschke, T.3    Kux, H.4
  • 8
    • 0031465270 scopus 로고    scopus 로고
    • A machine-learning approach to automated knowledge-base building for remote sensing image analysis with GIs data
    • Huang, X., Jensen, J.R., 1997. A Machine-Learning Approach to Automated Knowledge-Base Building for Remote Sensing Image Analysis with GIs Data. Photogrammetric Engineering & Remote Sensing. 63(10), pp. 1185-1194.
    • (1997) Photogrammetric Engineering & Remote Sensing. , vol.63 , Issue.10 , pp. 1185-1194
    • Huang, X.1    Jensen, J.R.2
  • 15
    • 85015480264 scopus 로고    scopus 로고
    • Texture feature extraction for classification of remote sensing data using wavelet decomposition: A comparative study
    • Ruiz, L.A, Fdez-Sarría, A., Recio, J.A., 2004. Texture feature extraction for classification of remote sensing data using wavelet decomposition: A comparative study. International Archives of Photogrammetry and Remote Sensing. Vol. XXXV, part B, pp. 1109-1115.
    • (2004) International Archives of Photogrammetry and Remote Sensing. , vol.35 , Issue.PART B , pp. 1109-1115
    • Ruiz, L.A.1    Fdez-Sarría, A.2    Recio, J.A.3
  • 17
    • 1642528357 scopus 로고    scopus 로고
    • Object-based classification of remote sensing data for change detection
    • Walter, V., 2004. Object-based classification of remote sensing data for change detection. ISPRS Journal of Photogrammetry and Remote Sensing 58 (3-4), 225-238.
    • (2004) ISPRS Journal of Photogrammetry and Remote Sensing , vol.58 , Issue.3-4 , pp. 225-238
    • Walter, V.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.