UDC 621.319
RECOVERY OF OBJECT IMAGES WITH EXPANDED SUPERVISION MATRIX
V. K. Klochko, Head of the Department, Ph.D, (technical sciences), RSREU, Ryazan; This email address is being protected from spambots. You need JavaScript enabled to view it.
V. P. Kuznetsov, Ph.D. (technical sciences); Ph.D., associate professor, RSREU, Ryazan; This email address is being protected from spambots. You need JavaScript enabled to view it.
The problem of objects images recovery based on data of radiometer with scanning antenna is considered. The step of scanning in a place corner is several times more than the step of scanning in an azimuth, and the matrix of supervision is thinned out along lines – the number of its lines is several times less than the number of columns. It leads to distortion of images and decrease in their resolution. The purpose of the work is the development of image recovery methods allowing to keep superpermission of supervision system in conditions of thinned-out matrix of radiometric supervision. Optimal matrix methods of restoration for cases of single-channel and two-channel processing of supervision matrixes are offered. The modification of restoration method by means of Winer's filter in the spatial frequencies field based on interpolation of supervision matrix is given. Results of algorithms work modeling based on the offered methods are given. The advantage on the accuracy of matrix restoration method based on two-channel processing is shown.
Keywords: radio heat-location, radiometer, thinned-out matrix of supervision, images recovery, superpermission, matrix method, iterative method, Winer's filter.