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The radio plasma imager (RPI) onboard NASA's IMAGE spacecraft has acquired over 1.2 million plasmagrams, images of remote sensing of the Earth's magnetosphere. Plasmagram archive is a classic-example dataset posing unrealistic demands of manual labor in order to analyze each collected image for useful features. We present an intelligent data prospecting system based on a bio-plausible model of the pre-attentive vision whose purpose is to draw attention of human analysts to the most interesting data. Presence of weak signatures in the RPI plasmagrams makes this dataset an excellent testbed for sensitive image prospecting techniques. We discuss our progress to date.