Spatial outlier detection with multiple attributes weighted

Zhi-gang Tang; Jun Yang; Bing-ru Yang

doi:10.1117/12.836759

10 July 2009 Spatial outlier detection with multiple attributes weighted

Zhi-gang Tang, Jun Yang, Bing-ru Yang

Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 74890I (2009) https://doi.org/10.1117/12.836759
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

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.

Citation Download Citation

Zhi-gang Tang, Jun Yang, and Bing-ru Yang "Spatial outlier detection with multiple attributes weighted", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 74890I (10 July 2009); https://doi.org/10.1117/12.836759

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