Vol. 2
Latest Volume
All Volumes
PIERL 123 [2025] PIERL 122 [2024] PIERL 121 [2024] PIERL 120 [2024] PIERL 119 [2024] PIERL 118 [2024] PIERL 117 [2024] PIERL 116 [2024] PIERL 115 [2024] PIERL 114 [2023] PIERL 113 [2023] PIERL 112 [2023] PIERL 111 [2023] PIERL 110 [2023] PIERL 109 [2023] PIERL 108 [2023] PIERL 107 [2022] PIERL 106 [2022] PIERL 105 [2022] PIERL 104 [2022] PIERL 103 [2022] PIERL 102 [2022] PIERL 101 [2021] PIERL 100 [2021] PIERL 99 [2021] PIERL 98 [2021] PIERL 97 [2021] PIERL 96 [2021] PIERL 95 [2021] PIERL 94 [2020] PIERL 93 [2020] PIERL 92 [2020] PIERL 91 [2020] PIERL 90 [2020] PIERL 89 [2020] PIERL 88 [2020] PIERL 87 [2019] PIERL 86 [2019] PIERL 85 [2019] PIERL 84 [2019] PIERL 83 [2019] PIERL 82 [2019] PIERL 81 [2019] PIERL 80 [2018] PIERL 79 [2018] PIERL 78 [2018] PIERL 77 [2018] PIERL 76 [2018] PIERL 75 [2018] PIERL 74 [2018] PIERL 73 [2018] PIERL 72 [2018] PIERL 71 [2017] PIERL 70 [2017] PIERL 69 [2017] PIERL 68 [2017] PIERL 67 [2017] PIERL 66 [2017] PIERL 65 [2017] PIERL 64 [2016] PIERL 63 [2016] PIERL 62 [2016] PIERL 61 [2016] PIERL 60 [2016] PIERL 59 [2016] PIERL 58 [2016] PIERL 57 [2015] PIERL 56 [2015] PIERL 55 [2015] PIERL 54 [2015] PIERL 53 [2015] PIERL 52 [2015] PIERL 51 [2015] PIERL 50 [2014] PIERL 49 [2014] PIERL 48 [2014] PIERL 47 [2014] PIERL 46 [2014] PIERL 45 [2014] PIERL 44 [2014] PIERL 43 [2013] PIERL 42 [2013] PIERL 41 [2013] PIERL 40 [2013] PIERL 39 [2013] PIERL 38 [2013] PIERL 37 [2013] PIERL 36 [2013] PIERL 35 [2012] PIERL 34 [2012] PIERL 33 [2012] PIERL 32 [2012] PIERL 31 [2012] PIERL 30 [2012] PIERL 29 [2012] PIERL 28 [2012] PIERL 27 [2011] PIERL 26 [2011] PIERL 25 [2011] PIERL 24 [2011] PIERL 23 [2011] PIERL 22 [2011] PIERL 21 [2011] PIERL 20 [2011] PIERL 19 [2010] PIERL 18 [2010] PIERL 17 [2010] PIERL 16 [2010] PIERL 15 [2010] PIERL 14 [2010] PIERL 13 [2010] PIERL 12 [2009] PIERL 11 [2009] PIERL 10 [2009] PIERL 9 [2009] PIERL 8 [2009] PIERL 7 [2009] PIERL 6 [2009] PIERL 5 [2008] PIERL 4 [2008] PIERL 3 [2008] PIERL 2 [2008] PIERL 1 [2008]
2008-01-03
Model of Man-Made Target Beneath Foliage Using Polinsar
By
, Vol. 2, 21-28, 2008
Abstract
Polarimetric SAR Interferometry can be used for parameter inversion of ground. An appropriate model is of most importance for parameters inversion. This paper derives a series of scattering model that can be used for parameter inversion of forestry area, such as RV, RVoG, OV and OVoG. These models can reveal the characteristics of forestry area as well as establish the relationship between observed data and parameters of test area. Finally, a multi-layer random scattering model that can be used for parameter inversion of forestry area containing a man-made target is derived. An improved model is examined by the simulated data of the singlebaseline polarimetric SAR interferometry. The result turns out that the improved RVoG scattering model is correct.
Citation
Bin Zou, Hongjun Cai, Lamei Zhang, and Maoliu Lin, "Model of Man-Made Target Beneath Foliage Using Polinsar," , Vol. 2, 21-28, 2008.
doi:10.2528/PIERL07122802
References

1. Cloude, S. R. and K. P. Papathanassiou, "Polarimetric SAR interferometry," IEEE Trans. GRS, Vol. 36, No. 5, 1551-1565, 1998.

2. Treuhaft, R. N., "Vertical structure of vegetated land surfaces from interferometric and polarimetric radar," Radio Sciences, Vol. 35, No. 1, 141-177, 2000.
doi:10.1029/1999RS900108

3. Papathanassiou, K. P. and S. R. Cloude, "Single-baseline polarimetric SAR interferometry," IEEE Trans. GRS, Vol. 39, No. 11, 2352-2363, 2001.

4. Treuhaft, R. N. and S. R. Cloude, "The structure of oriented vegetation from polarimetric interferometry," IEEE Trans. GRS, Vol. 37, No. 5, 2620-2624, 1999.

5. Hajnsek, I. and S. R. Cloude, "Pol-InSAR for agriculture vegetation parameter estimation," Proceedings of IEEE. IGARSS’04, 1224-1227, SAlaska, USA, eptembe 2004.

6. Cloude, S. R. and K. P. Papathanassiou, "Three-stage inversion process for polarimetric SAR interferometry," IEE Proc. — Radar. Sonar Navig, Vol. 150, No. 3, 125-134, 2003.
doi:10.1049/ip-rsn:20030449

7. Cloude, S. R. and K. P. Papathanassiou, "Polarimetric radar interferometry," SPIE’S 42nd Annual Meeting Proc. Windband Interferometry Sensing and Imaging Polarimetry, Vol. 3120, 1551-1565, 1997.

8. Haupt , R. L., "An introduction to genetic algorithms for electromagnetics," IEEE A P, Vol. 37, No. 2, 7-15, 1995.

9. Zou, B., L. Zhang, W. Wang, and D. Sun, "Forest parameters inversion using PolInSAR data based on genetic algorithm," Proceedings of IEEE. IGARSS’06, 2651-2654, Colorado, USA, August 2006.