Improved Three-Component Decomposition Technique for Forest Parameters Estimation from PolInSAR Image

Nguyen Ngoc Tan, Pham Minh Nghia, Bui Ngoc Thuy

Abstract


Polarimetric SAR interferometry (PolInSAR) is an efficient remote sensing technique that allows to extract forest heights by means of model-based inversion. Recently, there have been plenty of researches on the retrieval of vegetation parameters by single frequency single baseline PolInSAR, such as the ESPRIT method and three-stage inversion method. However, these methods have several shortcomings which tend to underestimate the forest height due to attenuations of the electromagnetic waves in the ground medium. In order to overcome these shortcomings, an improved three-component decomposition technique using PolInSAR image is proposed in this paper. By means of coherence set and a Newton-Raphson method, the proposed method improves the accuracy of forest height estimation. The proposed algorithm performance is evaluated with simulated data from PolSARProSim software and L-band PolInSAR image pair of Tien-Shan test site which is acquired by the SIR-C/X-SAR system.

Full Text:

PDF

References


S.R. Cloude, and K.P. Papathanassiou, "PolarimetricOptimisation in Radar Interferometry," Electronics Letters, Vol.

, No. 13, pp. 1176-1178, 1997.

S.R. Cloude, and K.P. Papathanassiou, “PolarimetricSAR Interferometry,” IEEE Transactions on Geoscience and

Remote Sensing, Vol. 36. No. 5, pp. 1551-1565, 1998.

H. Yamada, Y. Yamaguchi, Y. Kim, E. Rodriguez and W. M.Boener, “Polarimetric SAR interferometry for forest

analysis based on the ESPRIT algorithm”, IEICE Transaction on Electron, vol E 84-C, no. 12, (2001), pp. 1917-2014.

H. Yamada, M. Yamazaki and Y. Yamaguchi, “On scattering model decomposition of PolSAR and its application to

ESPRIT base Pol-InSAR”, Proceeding of 6th European Conference on Synthetic Aperture Radar, Dresden, Germany,

(2006) May 16-18.

H. Yamada, M. Yamazaki and Y. Yamaguchi, “On scattering model decomposition of PolSAR and its application to

ESPRIT based PolInSAR”, Proceeding of 6th European Conference on Synthetic Aperture Radar, (2006).

S. R. Cloude and K. P. Papathanassiou, “Three-stage inversion process for polarimetric SAR interferometric”, IEE

Proceedings Radar, Sonar and Navigation, vol. 150, issue 3, (2003), pp. 125-134.

Bin Zou, Da Lu, Hongjun Cai and Ye Zhang, “ Ground topography estimation over forests using PolInSar image by

means of coherence set”, Image Processing (ICIP), 2011 18th IEEE International Conference on.

J. D. Ballester-Berman and J. M. Lopez-Sanchez, “Applying the Freeman–Durden decomposition concept to

polarimetric SAR .interferometry,” IEEE Trans. Geosci. Remote Sens., vol. 48, no. 1, pp. 466–479, Jan. 2010.

M. Arri, J. VanZyl and Y. Kim. Adaptive model-based decomposition of polarimetric SAR covariance matrix. IEEE

Transaction on Geoscience and Remote Sensing, 2011, 49(3): 1104-1113.

J. VanZyl, M. Arri and Y. Kim. Model-based decomposition of polarimetric SAR covariance matrices constrained for

nonnegative eigenvalues [J]. IEEE Transaction on Geoscience and Remote Sensing, 2011, 49(9): 3452-3459.

O. Antropov, Y. Rauste and T. Hame, Volume scattering modeling in PolSAR decompositions: study of

ALOS/PALSAR data over Boreal forest [J]. IEEE Transaction on Geoscience and Remote Sensing, 2011, 49(10):

-3848.

S.R. Cloude, and K.P. Papathanassiou, "Polarimetric Optimisation in Radar Interferometry," Electronics Letters, Vol.

, No. 13, pp. 1176-1178, 1997.

S.R. Cloude, and K.P. Papathanassiou, “Polarimetric SAR Interferometry,” IEEE Transactions on Geoscience and

Remote Sensing, Vol. 36. No. 5, pp. 1551-1565, 1998.

M. Neumann, A. Reigber, and L. Ferro-Famil. “POLInSAR Coherence Set Theory and Application,” In Proc. EUSAR,

S. R. Cloude and K. P. Papathanassiou, “Three-stage inversion process for polarimetric SAR interferometric”, IEE

Proceedings Radar, Sonar and Navigation, vol. 150, Issue 3, (2003), pp. 125-134.

M. L. Williams, “PolSARproSim: A coherent, Polarimetric SAR simulation of Forest for PolSARPro”,

http//earth.eo.esa.int/polsarpro/SimulatedDataSources.html, (2006).

C. J. Hong, Z. Hong and W. Chao, “Comparision between ESPRIT algorithm and three-stage algorithm for

PolInSAR”, Proceeding of International conference on multimedia technology (ICMT), (2010), pp. 1-3.[13]

S. R. Cloude and K. P. Papathanassiou, “Three-stage inversion process for polarimetric SAR interferometric”, IEE

Proceedings Radar, Sonar and Navigation, vol. 150, issue 3, (2003), pp. 125-134

S.R. Cloude, “Pol-InSAR training course”, Radio Science, 2005




DOI: http://dx.doi.org/10.21553/rev-jec.192

Copyright (c) 2018 REV Journal on Electronics and Communications

Copyright © 2011-2024
Radio and Electronics Association of Vietnam
All rights reserved