Robust object detection using context and component information

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Aerial/space remote sensors acquire overwhelming amount of data at the present time for opto-electronic surveillance with multi-spectrum, multi-temporal, georeference data and significantly increased spatial, spectra! and radiometric resolutions. High-resolution aerial images permit to extract 3D information on the grounded objects. Manually processing those data for image registration and fusion, environmental change identification and object detection could be time-consuming and inconsistent for the large-scale image bank. The similar problematic exists in the civil digital libraries, which contain huge amount of visual data in the multimedia and database, thanks to rapid growth in the multimedia acquisition, storage, transmission, visualization, and interaction technologies.