Efficient target detection by object-based thematic mapping using remote sensing imagery

摘要

The detection of objects from a cluttered background using remote sensing data may cause many false alarms if the target object and the background have overlapping spectra. In this study, we propose an integrated approach to combine pixel-based spectral labeling with object-based spatial property measures. A hierarchical structure is developed in which multileveled attributions and decision rules can be implemented. The targets are then extracted progressively. Experimental results show a substantial reduction in the number of false alarms with the proposed method.