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

  • LiangChao Li
  • JunHai Zhang
  • JianYu Yang
Article
  • 136 Downloads

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.

Keywords

PMMW-FPA Neural network NUC method Mean-square error 

Notes

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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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.School of Electronic EngineeringUniversity of Electronic Science and Technology of ChinaChengduPeople’s Republic of China

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