Matching pixel and object image sizes during selection based on motion blur

被引：0

作者：

Tsytsulin, Aleksander K. ^{[1
]}

Bobrovsky, Aleksey, I ^{[2
]}

Morozov, Aleksey, V ^{[1
]}

机构：

[1] JSC Televis Res Inst, St Petersburg, Russia

[2] Govt Res Inst Appl Problems, St Petersburg, Russia

来源：

OPTICAL TECHNOLOGIES FOR TELECOMMUNICATIONS 2020 | 2021年 / 11793卷

关键词：

detection; coordinates measurement; object selection based on motion blur;

D O I：

10.1117/12.2593044

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The optimization of decomposition parameters in the problem of selecting distant objects against a starry background based on motion blur (motion smear) is considered. It is shown that this problem is solved in three stages - detection, coordinates estimation, classification. Each of these stages has its own, different optimal ratio of pixel size and lens point spread function. The solution obtained is a specification of Johnson's criteria for the adopted useful signal and background models.

引用

页数：7