Document Type
Conference Proceeding
Publication Title
Proceedings of SPIE - the International Society for Optical Engineering
Abstract
It is shown that the image chain has important effects upon the quality of feature extraction. Exact analytic ROC results are given for the case where arbitrary multivariate normal imagery is passed to a Bayesian feature detector designed for multivariate normal imagery with a diagonal covariance matrix. Plots are provided to allow direct visual inspection of many of the more readily apparent effects. Also shown is an analytic tradeoff that says doubling background contrast is equal to halving sensor to scene distance or sensor noise. It is also shown that the results provide a lower bound to the ROC of a Bayesian feature detector designed for arbitrary multivariate normal distributions.
First Page
287
Last Page
294
DOI
10.1117/12.487029
Publication Date
8-8-2003
Recommended Citation
Cofer, R. H., & Kozaitis, S. P. (2003). Image chain assessment for feature extraction. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 5108 287-294.