Smart Algorithms Enhance Adaptive Precision Imaging

被引：0
|
作者：
Liu Hua [1 ,2 ,3 ]
Li Mingsuo [1 ,2 ]
Zhu Ronggang [1 ,2 ]
Zhou Liwei [3 ]
机构：
[1] Sci & Technol Electroopt Control Lab, Luoyang, Peoples R China
[2] Luoyang Inst Electroopt Equipment AVIC, Luoyang, Peoples R China
[3] Beijing Inst Technol, Beijing, Peoples R China
来源：
OPTOELECTRONIC IMAGING AND MULTIMEDIA TECHNOLOGY VII | 2020年 / 11550卷
关键词：
System Engineering; Sensor System; Optimization;
D O I：
10.1117/12.2573394
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
The key to improve the capability of photoelectric detection and countermeasure system is to improve the detection ability of the system. System resolution, detection distance, detection range, response time, system signal-to-noise ratio are important criteria, and system optics is the core of its engineering implementation. From the global perspective, the adaptive algorithm establishes a new theory which superior to the traditional method, and solves the problem of freely determining the core optical solution, and opens up a new field for the development of accurate detection system.
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页数：7
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