Space moving target detection using time domain feature
| Autor: | Gao Feng, Jin-yu Zhao, Min Wang, Jin-yong Chen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Sequence
business.industry Computer science 020206 networking & telecommunications 02 engineering and technology Star (graph theory) Condensed Matter Physics Space (mathematics) Signal Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Constant false alarm rate Feature (computer vision) 0202 electrical engineering electronic engineering information engineering Trajectory 020201 artificial intelligence & image processing Computer vision Artificial intelligence Time domain Electrical and Electronic Engineering business |
| Zdroj: | Optoelectronics Letters. 14:67-70 |
| ISSN: | 1993-5013 1673-1905 |
| Popis: | The traditional space target detection methods mainly use the spatial characteristics of the star map to detect the targets, which can not make full use of the time domain information. This paper presents a new space moving target detection method based on time domain features. We firstly construct the time spectral data of star map, then analyze the time domain features of the main objects (target, stars and the background) in star maps, finally detect the moving targets using single pulse feature of the time domain signal. The real star map target detection experimental results show that the proposed method can effectively detect the trajectory of moving targets in the star map sequence, and the detection probability achieves 99% when the false alarm rate is about 8×10-5, which outperforms those of compared algorithms. |
| Databáze: | OpenAIRE |
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