Scene navigability is a character of local scene area, and the character embodies the ability of position-correction of some scene area for navigation system. Such ability provides position-correction for Inertia Navigation System of aircraft, which adopts Digit Scene Matching Area Correlator(DSMAC) techniques.
When analyzing the navigability of scene matching system for some scene area, the information content of scene is the most important factor. Generally speaking, the scene navigability can be determined by acquisition probability or matching fix precision of the navigation system.
The paper broadens the hypothesis of the reference map and additional noise. The preprocessed reference map is supposed as discrete fractional Brownian random field with zero mean, and additional noise is supposed as independent random field with zero mean.
The optimal expression of the measurement of DSMAC is deduced. Analyzing fractal and statistics characteristic of reference image derives an estimation model of acquisition probability on Cross Correlation Scene Matching Systems.
Many experiments with satellite images demonstrate the validity of this proposed acquisition probability model. The relation between acquisition probability and fractal feature is set up, and it provides a theoretical and practical basis for design of self-guided systems using scene matching.
The definition of scene navigability is set force, and acquisition probability is regarded as an important mark of scene navigability. The preprocessed reference map and additional noise are supposed as independent random field with zero mean. An estimation of acquisition probability on Cross Correlation Scene Matching Systems is derived by analyzing context and statistics characteristic of reference image. Many experiments with satellite images demonstrate the validity of this proposed acquisition probability model, which provides a theoretical and practical basis for design of self-guided systems using scene matching.
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