Abstract
Synthetic aperture imaging radiometer (SAIR) has the potential to meet the spatial resolution requirement of passive millimeter remote sensing from space. A new two-dimensional (2-D) imaging radiometer at millimeter wave (MMW) band is described in this paper; it uses a one-dimensional (1-D) synthetic aperture digital radiometer (SADR) to obtain an image on one dimension and a rotary platform to provide a scan on the second dimension. Due to the ill-posed inverse problem of SADR, we proposed a new reconstruction algorithm based on Finite Difference (FD) regularization to improve brightness temperature images. Experimental results show that the proposed 2-D MMW radiometer can give the brightness temperature images of natural scenes and the FD regularization reconstruction algorithm is able to improve the quality of brightness temperature images.
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Acknowledgement
The authors would like to thank the anonymous reviewers and Editorial Office for comments that improved the quality and clarity of this manuscript and also would like to thank Dr. Yiqiang Yu for his enthusiastic aids. The work was supported by the National Nature Science Foundation of China (No. 61162015) and (No. 31101081) and by the Special Fund Project for Visiting Scholar of Young and Middle-Aged Teachers Development Plan in Jiangxi Province College and University.
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Zhu, L., Liu, Y., Chen, S. et al. A New 2-Dimensional Millimeter Wave Radiation Imaging System Based on Finite Difference Regularization. J Infrared Milli Terahz Waves 36, 368–379 (2015). https://doi.org/10.1007/s10762-014-0133-5
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DOI: https://doi.org/10.1007/s10762-014-0133-5