메뉴 건너뛰기




Volumn 8, Issue 5, 2015, Pages 2138-2150

Expert Knowledge-Based Method for Satellite Image Time Series Analysis and Interpretation

Author keywords

Expert knowledge modeling; graph kernel; ontology representation; semantic; spatiotemporal analysis; very high resolution satellite image time series (VHR SITS)

Indexed keywords

GRAPH THEORY; IMAGE ANALYSIS; KNOWLEDGE BASED SYSTEMS; RELIABILITY ANALYSIS; REMOTE SENSING; SATELLITE IMAGERY; SATELLITES; SEMANTICS;

EID: 85027937399     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2015.2433257     Document Type: Article
Times cited : (30)

References (24)
  • 1
    • 79953230813 scopus 로고    scopus 로고
    • Unsupervised spatiotemporal mining of satellite image time series using grouped frequent sequential patterns
    • Mar.
    • A. Julea et al., "Unsupervised spatiotemporal mining of satellite image time series using grouped frequent sequential patterns, " IEEE Trans. Geosci. Remote Sens., vol. 49, no. 4, pp. 1417-1430, Mar. 2011.
    • (2011) IEEE Trans. Geosci. Remote Sens. , vol.49 , Issue.4 , pp. 1417-1430
    • Julea, A.1
  • 4
    • 84864744966 scopus 로고    scopus 로고
    • Knowledgebased region labeling for remote sensing image interpretation
    • G. Forestier, A. Puissant, C. Wemmert, and P. Gancąrski, "Knowledgebased region labeling for remote sensing image interpretation, " Comput. Environ. Urban Syst., vol. 36, no. 5, pp. 470-480, 2012.
    • (2012) Comput. Environ. Urban Syst. , vol.36 , Issue.5 , pp. 470-480
    • Forestier, G.1    Puissant, A.2    Wemmert, C.3    Gancąrski, P.4
  • 8
    • 84875647240 scopus 로고    scopus 로고
    • GeoCDX: An automated change detection and exploitation system for high-resolution satellite imagery
    • Mar.
    • M. N. Klaric et al., "GeoCDX: An automated change detection and exploitation system for high-resolution satellite imagery, " IEEE Trans. Geosci. Remote Sens., vol. 51, no. 4, pp. 2067-2086, Mar. 2013.
    • (2013) IEEE Trans. Geosci. Remote Sens. , vol.51 , Issue.4 , pp. 2067-2086
    • Klaric, M.N.1
  • 9
    • 79955574999 scopus 로고    scopus 로고
    • Spatio-temporal modeling for knowledge discovery in satellite image databases
    • W. Boulila, I. R. Farah, K. S. Ettabaa, B. Solaiman, and H. B. Ghézala, "Spatio-temporal modeling for knowledge discovery in satellite image databases, " in Proc. CORIA, 2010, pp. 35-49.
    • (2010) Proc. CORIA , pp. 35-49
    • Boulila, W.1    Farah, I.R.2    Ettabaa, K.S.3    Solaiman, B.4    Ghézala, H.B.5
  • 10
    • 23844507832 scopus 로고    scopus 로고
    • Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning
    • Jun.
    • P. Heas and M. Datcu, "Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning, " IEEE Trans. Geosci. Remote Sens., vol. 43, no. 7, pp. 1635-1647, Jun. 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.7 , pp. 1635-1647
    • Heas, P.1    Datcu, M.2
  • 12
    • 33947637730 scopus 로고    scopus 로고
    • Image time-series data mining based on the information-bottleneck principle
    • Mar.
    • L. Gueguen and M. Datcu, "Image time-series data mining based on the information-bottleneck principle, " IEEE Trans. Geosci. Remote Sens., vol. 45, no. 4, pp. 827-838, Mar. 2007.
    • (2007) IEEE Trans. Geosci. Remote Sens. , vol.45 , Issue.4 , pp. 827-838
    • Gueguen, L.1    Datcu, M.2
  • 14
    • 84879590467 scopus 로고    scopus 로고
    • Advances in geographic object-based image analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective
    • D. Arvor, L. Durieux, S. Andrés, and M. A. Laporte, "Advances in geographic object-based image analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective, " ISPRS J. Photogramm. Remote Sens., vol. 82, pp. 125-137, 2013.
    • (2013) ISPRS J. Photogramm. Remote Sens. , vol.82 , pp. 125-137
    • Arvor, D.1    Durieux, L.2    Andrés, S.3    Laporte, M.A.4
  • 15
    • 85028211307 scopus 로고    scopus 로고
    • Semantic nets for object-oriented land cover mapping: A preliminary example
    • D. Arvor et al., "Semantic nets for object-oriented land cover mapping: A preliminary example, " in Proc. 4th Geogr. Object-Based Image Anal. (GEOBIA), 2012, p. 303.
    • (2012) Proc. 4th Geogr. Object-Based Image Anal. (GEOBIA) , pp. 303
    • Arvor, D.1
  • 16
    • 58149365542 scopus 로고
    • Toward principles for the design of ontologies used for knowledge sharing
    • T. Gruber, "Toward principles for the design of ontologies used for knowledge sharing, " Int. J. Human Comput. Stud., vol. 43, pp. 907-928, 1995.
    • (1995) Int. J. Human Comput. Stud. , vol.43 , pp. 907-928
    • Gruber, T.1
  • 19
    • 38149108305 scopus 로고    scopus 로고
    • Image classification using marginalized kernels for graphs
    • Berlin, Germany: Springer
    • E. Aldea, J. Atif, and I. Bloch, "Image classification using marginalized kernels for graphs, " in Graph-Based Representations in Pattern Recognition, Berlin, Germany: Springer, 2007, vol. 4538, pp. 103-113.
    • (2007) Graph-Based Representations in Pattern Recognition , vol.4538 , pp. 103-113
    • Aldea, E.1    Atif, J.2    Bloch, I.3
  • 20
    • 77956707080 scopus 로고    scopus 로고
    • Toward a better integration of spatial relations in learning with graphical models
    • New York, NY, USA: Springer
    • E. Aldea and I. Bloch, "Toward a better integration of spatial relations in learning with graphical models, " in Advances in Knowledge Discovery and Management. New York, NY, USA: Springer, 2010, pp. 77-94.
    • (2010) Advances in Knowledge Discovery and Management , pp. 77-94
    • Aldea, E.1    Bloch, I.2
  • 23
  • 24
    • 0033285309 scopus 로고    scopus 로고
    • Texture synthesis by non-parametric sampling
    • A. A. Efros and T. K. Leung, "Texture synthesis by non-parametric sampling, " in Proc. Int. Conf. Comput. Vis. (ICCV), 1999, vol. 2, pp. 1033-1038.
    • (1999) Proc. Int. Conf. Comput. Vis. (ICCV) , vol.2 , pp. 1033-1038
    • Efros, A.A.1    Leung, T.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.