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Proceedings Paper

Spatial outlier detection with multiple attributes weighted
Author(s): Zhi-gang Tang; Jun Yang; Bing-ru Yang
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Paper Abstract

Spatial outliers are the spatial objects with distinct features from their surrounding neighbors. Detection of spatial outliers helps reveal valuable information from large spatial data sets. In many real applications, spatial objects can not be simply abstracted as isolated points. They have different boundary, size, volume, and location. These spatial properties affect the impact of a spatial object on its neighbors and should be taken into consideration. In this paper, we propose two spatial outlier detection methods which integrate the impact of spatial properties to the outlierness measurement. Experimental results on a real data set demonstrate the effectiveness of the proposed algorithms.

Paper Details

Date Published: 10 July 2009
PDF: 9 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890I (10 July 2009); doi: 10.1117/12.836759
Show Author Affiliations
Zhi-gang Tang, Univ. of Electronic Science and Technology Beijing (China)
Nanhua Univ. (China)
Jun Yang, Univ. of Electronic Science and Technology Beijing (China)
Bing-ru Yang, Univ. of Electronic Science and Technology Beijing (China)


Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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