Analysis Of Spatially Correlated Images With Implications For Independent Sampling And Linear Correlator Image Detection

Robert E. Stovall

doi:10.1117/12.932868

28 December 1981 Analysis Of Spatially Correlated Images With Implications For Independent Sampling And Linear Correlator Image Detection

Robert E. Stovall

Author Affiliations +

Proceedings Volume 0310, Image Quality; (1981) https://doi.org/10.1117/12.932868
Event: 25th Annual Technical Symposium, 1981, San Diego, United States

Abstract

For an image not dominated by regular features or structures, it is often desireable to quantify its "information content" in terms of an effective number of independent samples, N_i. This quantity is useful in several applications such as understanding the performance of certain image detection and registration schemes or calculating data redundancy. This paper offers a definition for N_i and applies it to three types of correlation functions postulated as spanning the range of "real world" image correlation: exponential, Whittle, and Gaussian correlation models. As an illustration of its use and importance, N_i is calculated for all three models at three distinct stages of a matched filter image detection system. Limited analysis of one type of aerial imagery supports the hypothesis that a Whittle model may be the canonical form of image correlation.

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Robert E. Stovall "Analysis Of Spatially Correlated Images With Implications For Independent Sampling And Linear Correlator Image Detection", Proc. SPIE 0310, Image Quality, (28 December 1981); https://doi.org/10.1117/12.932868

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