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Proceedings Paper

Integration of high-resolution DTED, hyperspectral data, and hypermedia data using the terrain analysis system
Author(s): Brian D. Leighty; Jack N Rinker
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Paper Abstract

DTED provides three dimensional surface configuration information which is the critical identifier of landform type. The use of knowledge based, physiographic landform models and the application of various morphometric operators to the DTED can lead to the inference of landform type. Accurate identification of landform type leads to the prediction of probable composition and properties. Thus, knowing landform type should provide key information regarding terrain characteristics for military and civil applications. Hyperspectral data by itself, are of little use in landform identification because spectral characteristics relate to surface composition rather than shape. However, spectral information in conjunction with surface configuration can help to identify some landform types. In addition, the use of landform and hyperspectral information together can provide information on surface composition that can then be used to infer soil condition factors. In these situations the interpretation of hyperspectral signatures is significantly more constrained and thus should be more accurate. Landform inferences resulting from the integrated DTED and hyperspectral data are further integrated with hypermedia terrain data consisting of text and imagery. This allows additional inferences to be made regarding landform composition and properties. The integration of these forms of data is investigated using the DARPA funded, prototype Terrain Analysis System (TAS). Examples are presented using several types of landforms. This investigation has been sponsored by the Central MASINT Organization, Spectral Information Technology Applications Center.

Paper Details

Date Published: 20 August 2001
PDF: 12 pages
Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); doi: 10.1117/12.437015
Show Author Affiliations
Brian D. Leighty, Knowledge Sciences, Inc. (United States)
Jack N Rinker, Knowledge Sciences, Inc. (United States)


Published in SPIE Proceedings Vol. 4381:
Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII
Sylvia S. Shen; Michael R. Descour, Editor(s)

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