A Modified ESPRIT Algorithm to Estimate Tree Height Using Dual-Polarization InSAR Datasets
Conference: EUSAR 2018 - 12th European Conference on Synthetic Aperture Radar
06/04/2018 - 06/07/2018 at Aachen, Germany
Proceedings: EUSAR 2018
Pages: 4Language: englishTyp: PDF
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Authors:
Duan, Dingfeng (Center for Information Geoscience and School of Resources and Environment, University of Electronic Science and Technology of China, P.R. China)
Wang, Yong (East Carolina University, USA & UESTC, China)
Luo, Xuelian (UESTC, China)
Abstract:
The requirement of quad-polarization data limits the applicability of the ESPRIT algorithm in estimating tree heights in forested areas. In this study, we modified the ESPRIT algorithm using dual-polarization data to replace the quad-polarization data. For the simulated PolSAR data, the averaged tree height derived from the modified algorithm was ~9.5% shorter than that using the quad-polarization SAR data. Because the underestimation might be small or acceptable, and there are dual-polarization data covering the globe, one can trade the accuracy versus the possible global estimation of tree heights. The trade-off should be very significant.