Robust Change Detection by Integrating Object-specific Features
نویسندگان
چکیده
Urban change detection of high resolution images is very difficult due to the complex nature of the urban environments. A robust approach is proposed in this paper for urban change detection of high resolution images, which is based on the integration of objectspecific features. To model the contextual information and improve the interclass variability between different classes, homogeneous regions are first extracted. Based on the robust object-specific difference measure, the complex changes of urban scene are represented by the fusion of object-specific spectral and textural features. Experimental results obtained on QuickBird images confirm the effectiveness and advantage of the proposed approach. * Corresponding author.
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