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Proceedings Paper

Application of neural networks in photogrammetry of dynamic targets
Author(s): Ping Li; Xiaofeng Mu; Yuqi Zhao
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Paper Abstract

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.

Paper Details

Date Published: 20 September 2002
PDF: 4 pages
Proc. SPIE 4927, Optical Design and Testing, (20 September 2002); doi: 10.1117/12.471710
Show Author Affiliations
Ping Li, Changchun University of Science and Technology (China)
Xiaofeng Mu, Changchun University of Science and Technology (China)
Yuqi Zhao, Changchun University of Science and Technology (China)

Published in SPIE Proceedings Vol. 4927:
Optical Design and Testing
Zhicheng Weng; Jose M. Sasian; Yongtian Wang, Editor(s)

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