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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 lowresolutiondigital elevation models (DEMs) using a single higherresolutionmultispectral image is described. The method uses a nonlinearestimation algorithm to determine an empirical relationship betweenthe spectral response of a pixel and the gradient or slope of its underlyingelevation surface. This relationship is, in effect, the inverse of thereflectance map used in shape-from-shading to recover surface orientationfrom image brightness. However, unlike most shape-from-shadingtechniques, we do not assume constant albedo, nor do we assume aparticular functional form for the reflectance map. A depth-from-gradientalgorithm is used to generate high-resolution elevations from highresolutiongradients using the low-resolution elevations as boundary values.Experimental results demonstrate the ability to generate enhancedresolution elevation maps from global 1-km DEMs and Landsat ThematicMapper 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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