Estimation of the Scanning Speed of Random Texture by a Multirow Focal Plane Array

Abstract

Scanning devises based on a set of mutually shifted focal plane arrays to increase the sampling rate in a direction orthogonal to the scanning direction require a high degree of stabilization of the scanning speed in order to obtain high-quality images. A new method for estimating the scanning speed is proposed based on the analysis of shifts of arbitrary random texture images generated by subarrays during scanning. The dependence of the accuracy of various methods of estimating the scanning speed based on the statistical characteristics of the texture is studied by simulation modeling. It is shown that even at a sufficiently high random noise level (SNR = 10) in images with texture satisfying the Nyquist criterion for each subarray, scanning speed estimation errors do not exceed 0.1% of the nominal value.