Mathematics – Logic
Scientific paper
Nov 1981
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1981pgers..47.1571e&link_type=abstract
Photogrammetric Engineering and Remote Sensing, vol. 47, Nov. 1981, p. 1571-1579. Research sponsored by the U.S. Geological Sur
Mathematics
Logic
2
Albedo, Computer Techniques, Multispectral Photography, Satellite-Borne Photography, Topography, Colorado, Digital Data, Landsat Satellites, Mars Surface, Photomapping
Scientific paper
A technique is presented for the separation of image brightness variations due to topography and those due to the intrinsic spectral reflectance of the materials by the use of multispectral classification techniques. The procedure involves the use of an unsupervised clustering technique applied to the relative spectral properties of the image using selected multispectral ratios. Computations, which employ only the image data, have been performed for Landsat MSS digital data and Viking Orbiter multispectral vidicon digital data. The computation was performed in two stages: the derivation of the average brightness distribution, the synthetic flat image; and the extraction of the topographic component. The original multispectral data may be further reduced to generate uncalibrated albedo maps for all bands, which may be used in either supervised or unsupervised classification. In turn, the topographic modulation component can be integrated to produce a digital pseudo-topography with subjectively correct stereo perception.
Chavez S. Jr. P.
Eliason P. T.
Soderblom Larry A.
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