Mathematics – Logic
Scientific paper
Apr 1985
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1985pggp.rept..450k&link_type=abstract
In NASA, Washington Repts. of Planetary Geol. and Geophys. Program, 1984 p 450-452 (SEE N85-23474 13-91)
Mathematics
Logic
Data Bases, Reflectance, Statistical Analysis, Surface Roughness, Topography, Venus Surface, Algorithms, Pioneer Venus Spacecraft, Root-Mean-Square Errors, Venus (Planet)
Scientific paper
Characterization of the Venusian surface in terms of its radar properties was accomplished by application of an unsupervised, linear discriminant algorithm to two Pioneer-Venus (PV) Orbiter radar data sets: the RMS-slope (surface roughness) and reflectivity. Both databases were spatially filtered to the same effective resolution of 100 km prior to classification. A recent supervised classification study using these data was based on presupposed morphologic significance of selected data ranges. The knowledge of both Venusian geology and the geologic significance of the radar data is so limited that the data warrant a more unsupervised approach; for this study a linear discriminant classifier was chosen. This approach is purely statistical, thereby removing any observer bias. Statistical significance of the resulting clusters was evaluated by an ancillary program in which an F test utilizing the Mahalanobis' distance.
Davis Paul A.
Kozak Richard C.
Schaber Gerald G.
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