Forest height estimation method using cross-variance matrix of polarimetric interferometric SAR data

doi:10.7523/j.issn.2095-6134.2009.6.016

Abstract

Abstract:

Using the cross-variance matrix of polarimetric interferometric SAR data which suffers less from noises,we proposed a new forest height estimation method. The method uses the singular decomposition of cross-variance matrix, instead of the eigen decomposition of coherence matrix in ESPRIT method, to obtain the interferometric phases of forest scattering centers. Then, forest heights are estimated from their interferometric phase differences. The proposed method not only suppresses the noise effects on the estimations for forest scattering centers, but also improves the computation efficiency. The L-band simulated polarimetric interferometric SAR data for the pine forest support the proposed method.

Key words: polarimetric interferometric synthetic aperture radar, cross-variance matrix, forest height estimation, scattering center

CLC Number:

TN957

BAI Lu, CAO Fang, HONG Wen. Forest height estimation method using cross-variance matrix of polarimetric interferometric SAR data[J]. , 2009, 26(6): 841-845.

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Forest height estimation method using cross-variance matrix of polarimetric interferometric SAR data

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