Paper
24 January 2019 A spatial moving target recognition algorithm based on full information vector
Yun Du, Desheng Wen, Guizhong Liu, Hongwei Yi, Meiying Liu, Junli Fang
Author Affiliations +
Proceedings Volume 11052, Third International Conference on Photonics and Optical Engineering; 1105210 (2019) https://doi.org/10.1117/12.2521938
Event: The International Conference on Photonics and Optical Engineering, 2018, Xi'an, China
Abstract
In this paper, a full information vector recognition algorithm for moving targets is proposed on the basis of the characteristic distribution of point targets and the moving characteristic between frames. The traditional multi -frame image fusion method of moving target recognition is abandoned. We utilize the distribution characteristic of point targets extracted from single image and moving characteristic of point targets extracted from multiple images to recognize and classify moving targets with the similarity principle of feature vector. Compared with the traditional maximum likelihood estimation image processing algorithm, the proposed recognition method costs less computation and provides a novel approach for spatial moving target detection and recognition.
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Yun Du, Desheng Wen, Guizhong Liu, Hongwei Yi, Meiying Liu, and Junli Fang "A spatial moving target recognition algorithm based on full information vector", Proc. SPIE 11052, Third International Conference on Photonics and Optical Engineering, 1105210 (24 January 2019); https://doi.org/10.1117/12.2521938
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KEYWORDS
Stars

Target recognition

Detection and tracking algorithms

Image processing

Point spread functions

Target detection

Feature extraction

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