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MEASURES OF INFORMATION IN REMOTE SENSING IMAGERY AND AREA-CLASS MAPS

This paper discusses quantitative evaluation of information in remote sensing and GIS data. The formula for calculating information contents of remote sensing imagery are developed, taking into account of signal-noise-ratio (SNR), inter-pixel and cross-band correlations, while information amounts in GIS data are calculated by referring to geometric position, attributes, and the equivocation in both. Tests were carried out to compute and analyze information contents in remote sensing imagery and area-class maps produced by four different methods. It was found that amounts of information in resultant area-class maps are consistent with classifiers’ performances, and are decreased in comparison with the source imagery. Further research will be directed towards the relationships between information contents and uncertainty.