| Autor: |
Yangyang Ma, Xiao Yu, Weifeng Song, Xue Huijun, Fulai Liang, Jianqi Wang, Pengfei Wang, Zhao Li |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall). |
| Popis: |
In through-the-debris human vital signs imagery, ambiguities in parameters will degrade the focusing quality of vital signs. Autofocusing methods are used to compensate for the parameters of debris and improve the focusing performance. In traditional autofocusing methods, we usually make some approximation on computation of the total electrical length. When the debris is thick, the error induced by the approximation will defocus the imagery. Then, we proposed an autofocusing method using a precise imaging model to solve this problem. The simulation verifies the viability of the analysis and processing method. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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