A New 2-Dimensional Millimeter Wave Radiation Imaging System Based on Finite Difference Regularization

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• 作者：Lu Zhu (1)
  Yuanyuan Liu (1)
  Suhua Chen (1)
  Fei Hu (2)
  Zhizhang (David) Chen (3)
  
  1. School of Information Engineering ; East China Jiaotong University ; NanChang ; 330013 ; China
  2. Department of Electronics and Information Engineering ; Huazhong University of Science and Technology ; Wuhan ; 430074 ; China
  3. Department of Electrical and Computer Engineering ; Dalhousie University ; Halifax ; B3J 2X4 ; Canada
  
• 关键词：MMW radiation imaging system ; direct conversion digital receiver ; Finite Difference regularization
• 刊名：International Journal of Infrared and Millimeter Waves
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：36
• 期：4
• 页码：368-379
• 全文大小：3,134 KB
• 参考文献：1. Thomas, L, Christian, M (2005) Stereoscopic passive millimeter-wave imaging and ranging. IEEE Trans. on Microwave Theory and Tech. 53: pp. 2594-2599 CrossRef
  2. Ruf, CS, Swift, CT, Tanner, AB, Vine, DM (1988) Interferometric synthetic aperture radiometry for the remote sensing of the Earth. IEEE Trans. Geosci. Remote Sen. 26: pp. 597-611 CrossRef
  3. Y. H. Kerr, P. Waldteufel, J. P. Wigneron, F. Cabot, J. Boutin, M. J. Escorihuela, J. Font, N. Reul, C. Gruhier, S. Juglea, S. Delwart, M. Drinkwater, A. Hahne, and M. Mart谋麓n-Neira, 鈥淭he SMOS Mission: New Tool for Monitoring Key Elements of the Global Water Cycle,鈥?Proc. of the IEEE 98(5), 666-687 (2010)
  4. Tanner, AB, Swift, CT (1993) Calibration of a synthetic aperture. Radiometer. IEEE Trans. GeoSci. Remote Sen. 31: pp. 257-267 CrossRef
  5. M. Mart铆n-Neira, I. Cabeza, C. P茅rez, M. A. Palacios, M. A. Guijarro, S. Rib贸, I. Corbella, S. Blanch, F. Torres, N. Duffo, V. Gonz谩lez, S. Beraza, A. Camps, M. Vall-llossera, S. Tauriainen, J. Pihlflyckt, J. P. Gonz谩lez, and F.Martin-Porqueras, 鈥淎MIRAS-An Airborne MIRAS Demonstrator,鈥?IEEE Trans. Geosci. Remote Sens. 46 (3), 705-716 (2008).
  6. Waters, WM, Jarrett, BR (1982) Bandpass signal sampling and coherent detection. IEEE Trans. on Aerospace and Electronic Systems 18: pp. 731-736 CrossRef
  7. Torres, F, Camps, A, Bar谩, J, Corbella, I, Ferrero, R (1996) On-board phase and modulus calibration of large aperture synthesis radiometers: Study applied to MIRAS. IEEE Trans. Geosci. Remote Sens. 34: pp. 1000-1009 CrossRef
  8. Anterrieu, E (2004) A resolving matrix approach for synthetic aperture imaging radiometers. IEEE Trans. Geosci. Remote Sensing 42: pp. 1649-1656 CrossRef
  9. Migliaccio, M, Gambardella, A (2005) Microwave Radiometer Spatial Resolution Enhancement. IEEE Trans. Geosci. Remote Sens. 43: pp. 1159-1169 CrossRef
  10. Lenti, F (2014) F Nunziata, M. Migliaccio and G. Rodriguez, 鈥淭wo-Dimensional TSVD to enhance the spatial resolution of radiometer data,鈥? IEEE Trans. Geosci. Remote Sens. 52: pp. 2450-2458 CrossRef
  11. Gambardella, A, Migliaccio, M (2008) On the superresolution of microwave scanning radiometer measurements. IEEE Geosci. Remote Sensing Lett. 5: pp. 796-800 CrossRef
  12. Zhou, X, Sun, H, He, J, Lu, X (2009) NUFFT-Based Iterative Reconstruction Algorithm for Synthetic Aperture Imaging Radiometers. IEEE Geosci. Remote Sensing Lett. 6: pp. 273-276 CrossRef
  13. Camps, A, Vall-llossera, M, Corbella, I, Duffo, N, Torres, F (2008) Improved image reconstruction algorithms for aperture synthesis radiometers. IEEE Trans. Geosci. Remote Sens. 46: pp. 146-158 CrossRef
  14. Piles, M, Camps, A, Vall-llossera, M, Talone, M (2009) Spatial-Resolution Enhancement of SMOS Data: A Deconvolution-Based Approach. IEEE Trans. Geosci. Remote Sens. 47: pp. 2182-2192 CrossRef
  15. Lenti, F (2014) F Nunziata, C. Estatico and M. Migliaccio, 鈥淥n the Spatial Resolution Enhancement of Microwave Radiometer Data in Banach Spaces,鈥? IEEE Trans. Geosci. Remote Sens. 52: pp. 1834-1842 CrossRef
  16. Lustig, M, Donoho, D, Pauly, J (2007) Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn. Resonance in Med. 58: pp. 1182-1195 CrossRef
  17. Chen, K, Zhu, YT, Guo, XC, Guo, W, Li, QX, Gui, LQ, Ni, W (2010) Design of 8mm-band Aperture Synthetic Radiometer and Imaging Experiment. Int. J. Infared Millim. Waves 31: pp. 724-734
  18. Corbella, I, Duffo, N, Vall-llossera, M, Camps, A, Torres, F (2004) The visibility function in interferometric aperture synthesis radiometry. IEEE Trans. Geosci. Remote Sens. 42: pp. 1677-1682 CrossRef
  19. Vine, DM, Griffis, AJ, Swift, CT, Jackson, TJ (1994) ESTAR: A Synthetic Aperture Microwave Radiometer for Remote Sensing Applications. Proc. of the IEEE 82: pp. 1787-1801 CrossRef
  20. A. Cichocki and S.-I. Amari, Adaptive Blind Signal and Image Processing-Learning Algorithms and Applications. J. Wiley, 2002.
  21. A. Camps, 鈥淎pplication of interferometric radiometry to earth observation,鈥?Ph.D. dissertation, Univ. Polit猫cnica de Catalunya, Barcelona, Spain, 1996.
  22. Patel, VM, Maleh, R, Gilbert, AC, Chellappa, R (2012) Gradient based image recovery methods from incomplete fourier measurements. IEEE Transactions Image Processing 21: pp. 94-105 CrossRef
  23. Yang, JF, Zhang, Y, Yin, W (2010) A fast alternating direction method for TVL1-L2 signal reconstruction from partial Fourier data. IEEE Journal of Selected Topics in Signal Processing, Special Issue on Compressive Sensing 4: pp. 288-297 CrossRef
  24. http://www.caam.rice.edu/~optimization/L1/TVAL3/.
  
• 刊物类别：Physics and Astronomy
• 刊物主题：None Assigned
• 出版者：Springer New York
• ISSN：1866-6906

文摘

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.