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Correlation Rules and Ontologies Acquisition in Knowledge Extraction of Image

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Web Reasoning and Rule Systems (RR 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4524))

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Abstract

After quantization and classification of the deviations between TM and ETM+ images based on approved thresholds, a correlation analysis method for the compared calibration is suggested in this paper. Four time points of raster data for 15 years of the highest group of land surface temperature and the lowest group of vegetation of the Kunsan city, are observed and analyzed their correlations for the change detection of urban land cover. This experiment detected strong and proportional correlation relationship between the highest group of land surface temperature and the lowest group of vegetation index which exceeded R=(+)0.9478, so the proposed correlation analysis model between land surface temperature and vegetation will be able to give proof an effective suitability to the land cover change detection and monitoring.

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Massimo Marchiori Jeff Z. Pan Christian de Sainte Marie

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© 2007 Springer Berlin Heidelberg

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Kim, H.M., Yoo, J.S. (2007). Correlation Rules and Ontologies Acquisition in Knowledge Extraction of Image. In: Marchiori, M., Pan, J.Z., Marie, C.d.S. (eds) Web Reasoning and Rule Systems. RR 2007. Lecture Notes in Computer Science, vol 4524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72982-2_28

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  • DOI: https://doi.org/10.1007/978-3-540-72982-2_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72981-5

  • Online ISBN: 978-3-540-72982-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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