In this article, a real-time multistage method for detecting multiple objects moving in real scenes is presented. At the first level, a rough focus-of-attention mechanism is used to individuate areas of the input image that show remarkable differences with a real-time updated background image. Binar
Microwave imaging of moving objects
β Scribed by Hsueh-Jyh Li; Sheng-Hui Yang; Ta-Yung Liu; Shih-Liang Yen; Yuhsyen Shen; Nabil H. Farhat
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 984 KB
- Volume
- 2
- Category
- Article
- ISSN
- 0899-9457
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β¦ Synopsis
Microwave images for objects in motion can be obtained with quality as good as those obtained in the stationary case if the signal waveforms, data acquisition systems, and image reconstruction algorithms are cleverly designed. The principle of imaging for objects in motion is to eliminate the gross Doppler effect of the echo signals and only reserve the differential Doppler information to reconstruct the image. Accordingly, requirements for parameters of the signal waveform are established. Two steps are involved in the image reconstruction algorithm: range alignment and phase compensation. Focused images of complex-shaped targets with simulated motion have been obtained experimentally.
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