Lossy Compression of Elevation Data
نویسندگان
چکیده
Generic lossy image compression algorithms, such as Said & Pearlman's, perform excellently on gridded terrain elevation data. For example, an average DEM compressed down to 0.1 bits per point has an RMS elevation error of 3 meters, although di erent DEMs ranged from 0.25 to 15 meters. This performance compares favorably to compressing with Triangulated Irregular Networks. Preliminary tests also suggest that the visibility indices of the points are robust with respect to our lossy compression.
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