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Volumn , Issue , 2015, Pages

Robust glacier displacements using knowledge-based image matching

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE ANALYSIS; IMAGE RECONSTRUCTION; KNOWLEDGE BASED SYSTEMS; RELIABILITY ANALYSIS; REMOTE SENSING; VELOCITY;

EID: 84959876810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/Multi-Temp.2015.7245790     Document Type: Conference Paper
Times cited : (2)

References (14)
  • 1
    • 84887105216 scopus 로고    scopus 로고
    • Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps
    • special Issue: Sensing Technologies for Sustainable Agriculture
    • D. J. Mulla, Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps, Biosystems Engineering, vol. 114, no. 4, pp. 358-371, 2013, special Issue: Sensing Technologies for Sustainable Agriculture.
    • (2013) Biosystems Engineering , vol.114 , Issue.4 , pp. 358-371
    • Mulla, D.J.1
  • 2
    • 84871261267 scopus 로고    scopus 로고
    • Mapping of summer crops in the state of parana, Brazil, through the 10-day spot vegetation ndvi composites
    • G. K. D. Araujo, J. V. Rocha, R. A. C. Lamparelli, and A. M. Rocha, Mapping of summer crops in the state of parana, brazil, through the 10-day spot vegetation ndvi composites, Engenharia Agrcola, vol. 2, no. 4, pp. 760-770, 2011.
    • (2011) Engenharia Agrcola , vol.2 , Issue.4 , pp. 760-770
    • Araujo, G.K.D.1    Rocha, J.V.2    Lamparelli, R.A.C.3    Rocha, A.M.4
  • 3
    • 84883544681 scopus 로고    scopus 로고
    • Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the hyspiri mission
    • I. Mariotto, P. S. Thenkabail, A. Huete, E. T. Slonecker, and A. Platonov, Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the hyspiri mission, Remote Sensing of Environment, vol. 139, no. 0, pp. 291-305, 2013.
    • (2013) Remote Sensing of Environment , vol.139 , pp. 291-305
    • Mariotto, I.1    Thenkabail, P.S.2    Huete, A.3    Slonecker, E.T.4    Platonov, A.5
  • 4
    • 84887290816 scopus 로고    scopus 로고
    • Parcel-level identification of crop types using different classification algorithms and multi-resolution imagery in southeastern Turkey
    • November
    • U. Alganci, E. Sertel, M. Ozdogan, and C. Ormeci, Parcel-level identification of crop types using different classification algorithms and multi-resolution imagery in southeastern turkey, Photogrammetric Engineering and Remote Sensing, vol. 79, no. 11, pp. 1053-1065, November 2013.
    • (2013) Photogrammetric Engineering and Remote Sensing , vol.79 , Issue.11 , pp. 1053-1065
    • Alganci, U.1    Sertel, E.2    Ozdogan, M.3    Ormeci, C.4
  • 9
    • 84890026289 scopus 로고    scopus 로고
    • Comparision of machine learning algorithms random forest, artificial neural network and support vector machine to maximum likelihood for supervised crop type classification
    • I. Nitze, U. Schulthess, and H. Asche, Comparision of machine learning algorithms random forest, artificial neural network and support vector machine to maximum likelihood for supervised crop type classification, in Proceedings of the 4th GEOBIA, Rio de Janeiro-Brazil, 2012, pp. 35-40.
    • (2012) Proceedings of the 4th GEOBIA, Rio de Janeiro-Brazil , pp. 35-40
    • Nitze, I.1    Schulthess, U.2    Asche, H.3
  • 12
    • 84880413388 scopus 로고    scopus 로고
    • The performance of random forests in an operational settingfor large area sclerophyll forest classification
    • A. Mellor, A. Haywood, C. Stone, and S. Jones, The performance of random forests in an operational settingfor large area sclerophyll forest classification, Remote Sensing, vol. 5, no. 6, p. 2838, 2013.
    • (2013) Remote Sensing , vol.5 , Issue.6 , pp. 2838
    • Mellor, A.1    Haywood, A.2    Stone, C.3    Jones, S.4
  • 13
    • 85116185618 scopus 로고    scopus 로고
    • An enhanced classification approach using hyperspectral image data in combination with in situ spectral measurements for the mapping of vegetation communities
    • B. Siegmann, C. Glaesser, S. Itzerott, and C. Neumann, An enhanced classification approach using hyperspectral image data in combination with in situ spectral measurements for the mapping of vegetation communities, PFG-Journal for Photogrammetry, Remote Sensing and Geoinformation Science, vol. 6, pp. 511-522, 2014.
    • (2014) PFG-Journal for Photogrammetry, Remote Sensing and Geoinformation Science , vol.6 , pp. 511-522
    • Siegmann, B.1    Glaesser, C.2    Itzerott, S.3    Neumann, C.4
  • 14
    • 33947591833 scopus 로고    scopus 로고
    • A survey of image classification methods and techniques for improving classification performance
    • D. Lu and Q. Weng, A survey of image classification methods and techniques for improving classification performance, International Journal of Remote Sensing, vol. 28, no. 5, pp. 823-870, 2007.
    • (2007) International Journal of Remote Sensing , vol.28 , Issue.5 , pp. 823-870
    • Lu, D.1    Weng, Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.