Model of a neural image formation scheme for the FPA with microscanning

被引：0

作者：

Zhegalov, S.I. ^{[1
]}

机构：

[1] Orion R and P Association, JSC, 9 Kosinskaya str., Moscow,111538, Russia

来源：

Applied Physics | 2019年 / 01期

关键词：

Image processing;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The article is a development of the gradient approach with a neural circuit as an imaging device. The OLS-model provides an assessment of processing options based on a comparison of the gradients of signals and matrixes of unknowns, corresponding to the images being formed. The model includes a comparison of signal gradients and unknowns, a system of linear equations for unknowns, a neural scheme corresponding to the system, and a traditional solution of the system for the criterion for stopping the neural scheme. © 2019 Federal Informational-Analytical Center of the Defense Industry. All rights reserved.

引用

页码：59 / 65