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An Enhanced Scene-Based NUC Method for PMMW Focal Plane Array Imaging

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Abstract

In this paper, an enhanced scene-based NUC (Non-Uniformity Correction) method that consists of rough correction and accurate correction is proposed for PMMW-FPA (Passive Millimeter-Wave Focal-Plane Array) imaging. In this method, electromagnetic radiation uniformity of a scene is a critical component needed for rough correction, and a neural network method is utilized to make accurate correction. The proposed method prevails over the neural network method in NUC performance and convergence speed as well as detail information keeping. Experimental results completed with simulated data as well as measured data demonstrate the effectiveness of the proposed method.

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Acknowledgement

This work is supported by the National Natural Science Foundation of China (NO.61201279) and the Fundamental Research Funds for the Central Universities (NO.ZYGX2012J012).

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Authors and Affiliations

  1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, People’s Republic of China

    LiangChao Li, JunHai Zhang & JianYu Yang

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  1. LiangChao Li
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  2. JunHai Zhang
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  3. JianYu Yang
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Correspondence to LiangChao Li or JunHai Zhang.

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Li, L., Zhang, J. & Yang, J. An Enhanced Scene-Based NUC Method for PMMW Focal Plane Array Imaging. J Infrared Milli Terahz Waves 34, 194–204 (2013). https://doi.org/10.1007/s10762-013-9958-6

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  • DOI: https://doi.org/10.1007/s10762-013-9958-6

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