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Proceedings Paper

Spatial and temporal scene analysis
Author(s): John Michael Rollins; Charles Chaapel; Max P. Bleiweiss
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Paper Abstract

Current efforts to design reliable background scene generation programs require validation using real images for comparison. A crucial step in making objective comparisons is to parameterize the real and generated images into a common set of feature metrics. Such metrics can be derived from statistical and transform-based analyses and yield information about the structures and textures present in various image regions of interest. This paper presents the results of such a metrics-development process for the smart weapons operability enhancement (SWOE) joint test and evaluation (JT&E) program. Statistical and transform based techniques were applied to images obtained from two separate locations, Grayling, Michigan and Yuma, Arizona, at various times of day and under a variety of environmental conditions. Statistical analyses of scene radiance distributions and `clutter' content were performed both spatially and temporally. Fourier and wavelet transform methods were applied as well. Results and their interpretations are given for the image analyses. The metrics that provide the clearest and most reliable distinction between feature classes are recommended.

Paper Details

Date Published: 15 June 1994
PDF: 12 pages
Proc. SPIE 2223, Characterization and Propagation of Sources and Backgrounds, (15 June 1994); doi: 10.1117/12.177944
Show Author Affiliations
John Michael Rollins, Science and Technology Corp. (United States)
Charles Chaapel, Science and Technology Corp. (United States)
Max P. Bleiweiss, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 2223:
Characterization and Propagation of Sources and Backgrounds
Wendell R. Watkins; Dieter Clement, Editor(s)

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