메뉴 건너뛰기




Volumn , Issue , 2013, Pages 73-79

Object based image classification: State of the art and computational challenges

Author keywords

big spatial data; machine learning; multiple instance learning; object based image analysis; pattern matching

Indexed keywords

IMAGE ANALYSIS; LEARNING SYSTEMS; PATTERN MATCHING; SATELLITE IMAGERY;

EID: 84896332848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2534921.2534927     Document Type: Conference Paper
Times cited : (10)

References (21)
  • 1
    • 0142009648 scopus 로고    scopus 로고
    • Classification and feature extraction for remote sensing images from urban areas based on morphological transformations
    • sept.
    • J. Benediktsson, M. Pesaresi, and K. Amason. Classification and feature extraction for remote sensing images from urban areas based on morphological transformations. Geoscience and Remote Sensing, IEEE Transactions on, 41(9):1940-1949, sept. 2003.
    • (2003) Geoscience and Remote Sensing, IEEE Transactions on , vol.41 , Issue.9 , pp. 1940-1949
    • Benediktsson, J.1    Pesaresi, M.2    Amason, K.3
  • 3
    • 80052338576 scopus 로고    scopus 로고
    • Application of multiple-instance learning for hyperspectral image analysis
    • sept.
    • J. Bolton and P. Gader. Application of multiple-instance learning for hyperspectral image analysis. Geoscience and Remote Sensing Letters, IEEE, 8(5):889 -893, sept. 2011.
    • (2011) Geoscience and Remote Sensing Letters, IEEE , vol.8 , Issue.5 , pp. 889-893
    • Bolton, J.1    Gader, P.2
  • 4
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • PII S0004370296000343
    • T. G. Dietterich, R. H. Lathrop, T. Lozano-Perez, and A. Pharmaceutical. Solving the multiple-instance problem with axis-parallel rectangles. Artificial Intelligence, 89:31-71, 1997. (Pubitemid 127412230)
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Perez, T.3
  • 6
    • 33748809580 scopus 로고    scopus 로고
    • Comparative analysis and classification of features for image models
    • DOI 10.1134/S1054661806030023
    • I. Gurevich and I. Koryabkina. Comparative analysis and classification of features for image models. Pattern Recognition and Image Analysis, 16:265-297, 2006. 10.1134/S1054661806030023. (Pubitemid 44411463)
    • (2006) Pattern Recognition and Image Analysis , vol.16 , Issue.3 , pp. 265-297
    • Gurevich, I.B.1    Koryabkina, I.V.2
  • 7
    • 35348889732 scopus 로고    scopus 로고
    • An adaptive multiscale information fusion approach for feature extraction and classification of ikonos multispectral imagery over urban areas
    • oct.
    • X. Huang, L. Zhang, and P. Li. An adaptive multiscale information fusion approach for feature extraction and classification of ikonos multispectral imagery over urban areas. Geoscience and Remote Sensing Letters, IEEE, 4(4):654-658, oct. 2007.
    • (2007) Geoscience and Remote Sensing Letters, IEEE , vol.4 , Issue.4 , pp. 654-658
    • Huang, X.1    Zhang, L.2    Li, P.3
  • 8
    • 37249089673 scopus 로고    scopus 로고
    • Object-based change detection using correlation image analysis and image segmentation
    • DOI 10.1080/01431160601075582, PII 779453400
    • J. Im, J. R. Jensen, and J. A. Tullis. Object-based change detection using correlation image analysis and image segmentation. Int. J. Remote Sens., 29:399-423, January 2008. (Pubitemid 350269296)
    • (2008) International Journal of Remote Sensing , vol.29 , Issue.2 , pp. 399-423
    • Im, J.1    Jensen, J.R.2    Tullis, J.A.3
  • 13
    • 84857153519 scopus 로고    scopus 로고
    • High-resolution urban image classification using extended features
    • R. R. Vatsavai. High-resolution urban image classification using extended features. In ICDM Workshops, pages 869-876, 2011.
    • (2011) ICDM Workshops , pp. 869-876
    • Vatsavai, R.R.1
  • 17
    • 79960089324 scopus 로고    scopus 로고
    • Machine learning approaches for high-resolution urban land cover classification: A comparative study
    • R. R. Vatsavai, E. A. Bright, V. Chandola, B. L. Bhaduri, A. Cheriyadat, and J. Graesser. Machine learning approaches for high-resolution urban land cover classification: a comparative study. In COM.Geo, page 11, 2011.
    • (2011) COM.Geo , pp. 11
    • Vatsavai, R.R.1    Bright, E.A.2    Chandola, V.3    Bhaduri, B.L.4    Cheriyadat, A.5    Graesser, J.6
  • 18
    • 79951763773 scopus 로고    scopus 로고
    • Unsupervised semantic labeling framework for identification of complex facilities in high-resolution remote sensing images
    • R. R. Vatsavai, A. Cheriyadat, and S. S. Gleason. Unsupervised semantic labeling framework for identification of complex facilities in high-resolution remote sensing images. In ICDM Workshop on Spatial and Spatiotemporal Data Mining (SSTDM), pages 273-280, 2010.
    • (2010) ICDM Workshop on Spatial and Spatiotemporal Data Mining (SSTDM) , pp. 273-280
    • Vatsavai, R.R.1    Cheriyadat, A.2    Gleason, S.S.3
  • 19
    • 0141596676 scopus 로고    scopus 로고
    • Solving the multiple-instance problem: A lazy learning approach
    • Morgan Kaufmann
    • J. Wang. Solving the multiple-instance problem: A lazy learning approach. In In Proc. 17th International Conf. on Machine Learning, pages 1119-1125. Morgan Kaufmann, 2000.
    • (2000) In Proc. 17th International Conf. on Machine Learning , pp. 1119-1125
    • Wang, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.