Open AccessRecognition of radar images generated by synthetic aperture radar systems
Author(s) -
Nina S. Vinogradova,
AUTHOR_ID,
Leonid G. Dorosinsky,
AUTHOR_ID
Publication year - 2021
Publication title -
ural radio engineering journal
Language(s) - English
Resource type - Journals
eISSN - 2588-0462
pISSN - 2588-0454
DOI - 10.15826/urej.2021.5.3.004
Subject(s) - computer science , synthetic aperture radar , remote sensing , radar , artificial intelligence , radar imaging , guard (computer science) , data mining , pattern recognition (psychology) , algorithm , computer vision , geography , telecommunications , programming language
In the field of radar remote sensing of the Earth, the problem of detecting and / or identifying spatially distributed targets against the background of a homogeneous surface is becoming increasingly important, for example, the tasks of the coast guard, monitoring of unauthorized forest logging, assessing the consequences of natural disasters, and others. This study is devoted to solving the problem of developing the optimal algorithm for making a decision on the class of a spatially distributed target based on data from side-scan radar systems with a synthetic aperture. A detailed description of the signal formation process in the fixed range channel is given, taking into account possible interference factors. Based on the statistical criterion by the method of maximum likelihood, the recognition algorithm is proposed, expressions for the formation of a feature vector are obtained, and the nonparametric decision rule is proposed. The algorithm has been tested on the example of recognizing three classes of spatially distributed targets that differ in size.