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Optical Engineering

Spatial enhancement of elevation data using a single multispectral image
Author(s): Mark J. Carlotto
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Paper Abstract

A new method for enhancing the spatial resolution of lowresolution digital elevation models (DEMs) using a single higherresolution multispectral image is described. The method uses a nonlinear estimation algorithm to determine an empirical relationship between the spectral response of a pixel and the gradient or slope of its underlying elevation surface. This relationship is, in effect, the inverse of the reflectance map used in shape-from-shading to recover surface orientation from image brightness. However, unlike most shape-from-shading techniques, we do not assume constant albedo, nor do we assume a particular functional form for the reflectance map. A depth-from-gradient algorithm is used to generate high-resolution elevations from highresolution gradients using the low-resolution elevations as boundary values. Experimental results demonstrate the ability to generate enhanced resolution elevation maps from global 1-km DEMs and Landsat Thematic Mapper imagery.

Paper Details

Date Published: 1 February 2000
PDF: 8 pages
Opt. Eng. 39(2) doi: 10.1117/1.602381
Published in: Optical Engineering Volume 39, Issue 2
Show Author Affiliations
Mark J. Carlotto, Pacific-Sierra Research Corp. (United States)

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