As Geobase Information Systems increase in number, size and complexity, the format compatability of satellite remote sensing data becomes increasingly more important. Because of the vast and continually increasing quantity of data available from remote sensing systems the utility of these data is increasingly dependent on the degree to which their formats facilitate, or hinder, their incorporation into Geobase Information Systems. To merge satellite data into a geobase system requires that they both have a compatible geographic referencing system. Greater acceptance of satellite data by the user community will be facilitated if the data are in a form which most readily corresponds to existing geobase data structures. The conference addressed a number of specific topics and made recommendations.

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Geobase Information System Impacts on Space Image Formats

Photographic transparencies were prepared with precisely determined quantities of gaussian (signal-independent) and Poisson (signal-dependent) noise and submitted to observers for subjective ranking of image quality. Average values of noise and signal-to-noise ratio, based upon the relative variance of the signal, were calculated for the imagery: (a) assuming equal a priori probabilities of allowed signal levels; (b) using a normalized probability density function for signal levels derived from scene statistics. Best correlation with the results of subjective quality ranking was obtained with an average signal-to-noise ratio based upon the normalized probability density function.

P. A. Hollanda

Papers

Relative Effects of Gaussian and Poisson Noise on Subjective Image Quality