Hearing the Reliability In Classified Remotely Sensed Images

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Abstract
Sound is a largely untapped medium for the communication of cartographic data. For most map readers, its primary potential is in conveying information when a map is cluttered already but there are still important data to communicate. This is the situation when a classified remotely sensed image is to be displayed, and reliability information is available for each pixel. Visual methods to display this information have been suggested, but all are complex and degrade the classified image. Therefore, several alternative sound maps forming sonic overlays on the classified image have been developed to enable concurrent and integral visualization of the classification and its reliability. The sound variables implemented for this purpose include pitch, duration, silence, and modulation; other variables, such as loudness, could be used. By also considering visual cues, a user can navigate around an image and build up a sound map of the reliability in the displayed image. It is believed that sound tools give a new dimension to the visualization of the classified scene. This needs to be confirmed in future perceptual research.

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