The application of neural networks in photogrammetry of dynamic targets

被引：0
|
作者：
Li, P [1 ]
Mu, XF [1 ]
Zhao, YQ [1 ]
机构：
[1] Changchun Univ Sci & Technol, Changchun 130022, Peoples R China
来源：
OPTICAL DESIGN AND TESTING | 2002年 / 4927卷
关键词：
photogrammetry; neural networks; photo processing; target recognition;
D O I：
10.1117/12.471710
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 photogrammetry system can provide the coordinate, speed and acceleration of a flying target in space. Its background is disorderly and interference sources are many in number, so that the target recognition and signal processing are difficult. This paper adopts multiple front freeback neural networks to replace traditional mode recognition methods. It has the features of high parallel arithmetic capacity, distributive information storation and parallel proceeding. According to the features of flying targets, useful signals are extracted from various information,therefore, the sampling and recognition can be realized. The combination of artificial neural network techniques, photo recognition and artificial intelligence techniques, improves the speed of photo processing and recognition, and increases the exactness.
引用
收藏
页码：784 / 787
页数：4
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