LIANG Lei, ZHOU Chenghu, LI Xinwu, GAO Xizhang, WU Wenjin. Comparision of Methods for Polarimetric SAR Tomography with Small Number of Baselines in Forested Areas[J]. Chinese Journal of Electronics, 2019, 28(5): 1073-1079. doi: 10.1049/cje.2019.06.026
Citation: LIANG Lei, ZHOU Chenghu, LI Xinwu, GAO Xizhang, WU Wenjin. Comparision of Methods for Polarimetric SAR Tomography with Small Number of Baselines in Forested Areas[J]. Chinese Journal of Electronics, 2019, 28(5): 1073-1079. doi: 10.1049/cje.2019.06.026

Comparision of Methods for Polarimetric SAR Tomography with Small Number of Baselines in Forested Areas

doi: 10.1049/cje.2019.06.026
Funds:  This work is supported by the National Natural Science Foundation of China (No.41571360), China Postdoctoral Science Foundation (No.2016M601110), and the Young Scientists Fund of National Natural Science Foundation of China (No.41601361).
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  • Corresponding author: LI Xinwu (corresponding author) was born in 1973.He received the Ph.D.degree in cartography and geographical information system from the Institute of Remote Sensing and Digital Earth,CAS,China.He is a professor of the Institute of Remote Sensing and Digital Earth,CAS.His research interests include microwave remote sensing,global environmental change and urban environmental remote sensing.(Email:lixw@radi.ac.cn)
  • Received Date: 2016-09-26
  • Rev Recd Date: 2017-12-05
  • Publish Date: 2019-09-10
  • Synthetic aperture radar Tomography (TomoSAR) provides scene reflectivity estimation of vegetation along elevation coordinates. However, the more multi-baselines acquisition, the longer the time span of acquisition, which will result in serious temporal decorrelation in forested area. In this way, we expect to use as smaller number of baselines as possible to obtain high estimation accuracy in elevation direction. We thus investigate the performance of Polarimetric SAR tomography (Pol-TomoSAR) with small number of baselines in forested areas. The results show that compressive sensingbased Pol-TomoSAR has higher estimation accuracy in elevation direction than conventional Pol-TomoSAR with small number of baselines.
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  • A. Reigber and A. Moreira, "First demonstration of airborne SAR to-mography using multibaseline L-band data", IEEE Trans. Geosci. Remote Sens., Vol.38, No.5, pp.2142-2152, 2000.
    F. Lombardini and A. Reigber, "Adaptive spectral estimation for multi-baseline SAR tomography with airborne L-band data", IEEE IGARSS, Vol.3, No.1, pp.2014-2016, 2003.
    S. Guillaso and A. Reigber, "Polarimetric SAR tomography (POLTOMSAR)", POLINSAR, Vol.1, No.1, pp.1-6, 2005.
    F. Gini and F. Lombardini, "Multibaseline cross-track SAR interferometry:A signal processing perspective", IEEE Aerosp. Electron. Syst. Mag., Vol.20, No.8, pp.71-93, 2005.
    X. Zhu and R. Bamler, "Very high resolution spaceborne SAR tomography in urban environment", IEEE Trans. Geosci. Remote Sens., Vol.48, No.12, pp.4296-4308, 2010.
    Y. Huang, L. Ferro-Famil and A. Reigber, "Under-foliage object imaging using SAR tomography and polarimetric spectral estimators", IEEE Trans. Geosci. Remote Sens., Vol.50, No.6, pp.2213-2225, 2012.
    D. Donoho, "Compressed sensing", IEEE Trans. Inf. Theory, Vol.53, No.4, pp.1289-1306, 2006.
    E. Candès, J. Romberg and T. Tao, "Robust uncertainty principles:Exact signal reconstruction from highly incomplete frequency information", IEEE Trans. Inf. Theory, Vol.52, No.2, pp.489-509, 2006.
    E. Candès, "Compressive sampling", Int. Congr. Math., Vol.3, No.1, pp.1433-1452, 2006.
    E. Candès and T. Tao, "The Dantzig selector:Statistical estimation when p is much larger than n", Ann. Statist., Vol.35, No.6, pp.2313-2351, 2007.
    R. Baraniuk, "Compressive sensing", IEEE Signal Process. Mag., Vol.24, No.4, pp.118-121, 2007.
    A. Budillon, A. Evangelista and G. Schirinzi, "SAR tomography from sparse samples", IEEE IGARSS, Vol.1, No.1, pp.865-868, 2009.
    A. Budillon, A. Evangelista and G. Schirinzi, "Three dimensional SAR focusing from multi-pass signals using compressive sampling", IEEE Trans. Geosci. Remote Sens., Vol.49, No.1, pp.488-499, 2011.
    E. Aguilera, M. Nannini and A. Reigber, "Multi-signal compressed sensing for polarimetric SAR tomography", IEEE Int. Geosci. Remote Sens. Symp., Vol.1, No.1, pp.1369-1372, 2011.
    E. Aguilera, M. Nannini and A. Reigber, "Wavelet-based compressed sensing for SAR tomography of forested areas", Proc. EUSAR, pp.259-262, 2012.
    E. Aguilera, M. Nannini and A. Reigber, "Waveletbased compressed sensing for SAR tomography of forested areas", IEEE Trans. Geosci. Remote Sens., Vol.51, No.12, pp.5283-5295, 2013.
    E. Aguilera, M. Nannini and A. Reigber, "A data adaptive compressed sensing approach to polarimetric SAR tomography", IEEE IGARSS, Vol.1, No.1, pp.7472-7475, 2012.
    L. Liang, H. Guo and X. Li, "Three-dimensional structural parameter inversion of buildings by distributed compressive sensing-based polarimetric SAR tomography using a small number of baselines", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol.7, No.10, pp.4218-4230, 2014.
    L. Liang, X. Li, X. Gao and H. Guo, "Multibaseline polarimetric synthetic aperture radar tomography of forested areas using wavelet-based distribution compressive sensing", Journal of Applied Remote Sensing, Vol.9, No.1, 2015.
    X. Li, L. Liang, H. Guo and Y. Huang, "Compressive sensing for multibaseline polarimetric SAR tomography of forested areas", IEEE Trans. Geosci. Remote Sens., Vol.54, No.1, pp.153-166, 2016.
    X. Zhu and R. Bamler, "Tomographic SAR inversion by L1 norm regularization-The compressive sensing approach", IEEE Trans. Geosci. Remote Sens., Vol.48, No.10, pp.3839-3846, 2010.
    X. Zhu and R. Bamler, "Super-resolution power and robustness of compressive sensing for spectral estimation with application to spaceborne tomographic SAR", IEEE Trans. Geosci. Remote Sens., Vol.50, No.1, pp.247-258, 2012.
    G. Fornaro, D. Reale and F. Serafino, "Four-dimensional SAR imaging for height estimation and monitoring of single and double scatterers", IEEE Trans. Geosci. Remote Sens., Vol.47, No.1, pp.224-237, 2009.
    S. Tebaldini, "Algebraic synthesis of forest scenarios from multibaseline polInSAR data", IEEE Trans. Geosci. Remote Sens., Vol.47, No.1, pp.4132-4142, 2009.
    S. Tebaldini, "Single and multipolarimetric SAR tomography of forested areas:A parametric approach", IEEE Trans. Geosci. Remote Sens., Vol.48, No.5, pp.2375-2387, 2010.
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