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Proceedings Paper

Prediction of thermal crossover based on imaging measurements over the diurnal cycle
Author(s): S. J. Paul Retief; C. J. Willers; M. S. Wheeler
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Paper Abstract

Thermal crossover is the phenomenon where the infrared signatures of two different objects in a scene are indistinguishable. A prediction method was developed where a series of infrared images is used as the basis to predict thermal crossover under different climatic conditions. Image recordings are made over the full diurnal cycle, for a fixed scene. We then develop a theoretical thermal model, describing dynamic temporal behaviour. Using the recorded images, the model parameters required to describe the temporal behaviour of the observed scene, are determined. The model, with the appropriate model parameters, is then used to create a new image sequence, predicting the scene appearance under different climatic conditions. The new image sequence is used to predict thermal crossover under the new set of climatic conditions. The paper closes with conclusions and recommendations for future work.

Paper Details

Date Published: 14 August 2003
PDF: 12 pages
Proc. SPIE 5097, Geo-Spatial and Temporal Image and Data Exploitation III, (14 August 2003); doi: 10.1117/12.488358
Show Author Affiliations
S. J. Paul Retief, Kentron (South Africa)
C. J. Willers, Kentron (South Africa)
M. S. Wheeler, Kentron (South Africa)


Published in SPIE Proceedings Vol. 5097:
Geo-Spatial and Temporal Image and Data Exploitation III
Nickolas L. Faust; William E. Roper, Editor(s)

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