Forest height estimation algorithm using polarizatric interference UAV-SAR images
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https://doi.org/10.54939/1859-1043.j.mst.77.2022.13-21Keywords:
PolInSAR; UAV-SAR; Complex interferometry coherence; Mean extinction coefficients.Abstract
This paper proposes a method to increase the accuracy in estimating forests height using polarimetric interferometry UAV-SAR images. The forest parameters extracted by the proposed method are implemented through three stages. The topographic phase and mean extinction coefficients can be determined in the first two steps through analyzing eigenvalues of the interferometry coherence matrix. The forest height is restored in the final stage based on the determination of a complex interferometry coherence factor for the canopy scattering component. The effectiveness of the proposed method are evaluated with UAV-SAR data from NASA/JPL’s AfiSAR project.
References
[1]. T. Mette, K. P. Papathanassiou, I. Hajnsek, H. Pretzsch and P. Biber, “Applying a common allometric equation to convert forest height from Pol-InSAR data to forest biomass”, In Proc, IGARSS, Anchogare, AK, USA, pp.272-276, 2004.
[2]. Cloude, S. R, and Papathanassiou. K. P, “Polarimetric SAR interferometry”, IEEE Transactions on Geoscience and Remote Sensing, GRS-36 (5), pp.1551–1565, 1998.
[3]. S.R. Cloude and K.P. Papathanassiou. “Three-stage inversion process for polarimetric SAR interferometric”, IEEE Proc. Inst. Elect. Eng.-Radar, Sonar and Navig, Vol.150, No.3, pp. 125-134, Jun. 2003.
[4]. Qi Zhang, Tiandong Liu, Zegang Ding, Tao Zeng and Teng Long. “A Modified Three-Stage Inversion Algorithm Based on R-RVoG Model for PolInSAR Data”, IEEE Trans. Geosci. Remote Sens, Vol.861, No.8, pp. 1-17, 2016.
[5]. Tayebe Managhebi, Yasser Maghsoudi and Mohammad Javad Valadan Zoej, “An Improved Three-Stage Inversion Algorithm in Forest Height Estimation Using Single-Baseline Polarimetric SAR Interferometry Data”, IEEE Transactions on Geoscience and Remote Sensing, Vol.15, No.6, pp. 887 – 891, 2018.
[6]. R. N. Treuhaft and P. R. Siqueira, “Vertical structure of vegetated land surfaces from interferometric and polarimetric radar”, Radio Science, Vol.35, No.3, pp. 141-177, 2000.
[7]. Tayebe M., Yasser M., Mohammad J.V.Z, “A Volume Optimization Method to Improve the Three-Stage Inversion Algorithm for Forest Height Estimation Using PolInSAR Data”, IEEE Geoscience and Remote Sensing Letter, Vol.15, No.3, pp.1214-1218, 2018.
[8]. L. Zhang, B. Zou, and W. Tang, “Polarimetric interferometric igenvalue similarity parameter and its application in target detection”, IEEE Geoscience and Remote Sensing Letters, Vol. 8, No. 4, pp. 819-823, 2008.
[9]. T. Mette, K. P. Papathanassiou, I. Hajnsek, H. Pretzsch and P. Biber, “Applying a common allometric equation to convert forest height from Pol-InSAR data to forest biomass”, In Proc. IGARSS, Anchogare, AK, USA, pp. 272-276, 2004.
[10]. Zhang. Q, Liu. T, Ding. Z, Zeng.T, Long. T. “A Modified Three-Stage Inversion Algorithm Based on R-RVoG Model for Pol-InSAR Data”, IEEE Trans. on Geosci. and Remote Sens. 2016, pp. 1-17.
