Sparse vegetation height inversion method of polarimetric SAR interferometry

Abstract

The invention provides a sparse vegetation height inversion method of a polarimetric SAR interferometry, thereby solving a problem of low inversion precision in the prior art. The method comprises: carrying out horizontal ground interferometric phase correction on a polarimetric SAR interferometry secondary image; acquiring Pauli base vector matrixes of a main image and the corrected secondary image; calculating a polarization coherent matrix set by the Pauli base vector matrixes; according to a vegetation interferometric phase distribution map, carrying out non-neighborhood spatial multi-viewaveraging on the polarization coherent matrix set; calculating an earth surface correlation coefficient matrix and a volume scattering correlation coefficient matrix by the polarization coherent matrix set after the non-neighborhood spatial multi-view averaging; and carrying out inversion on the sparse vegetation height by the earth surface correlation coefficient matrix and the volume scatteringcorrelation coefficient matrix. Therefore, the interference phase difference between the polarization coherence matrices is reduced; and the accuracy of the vegetation parameter inversion is improved. The method can be applied to forest classification and mapping, large-area vegetation detection and high-precision three-dimensional topographic mapping of the complex terrain.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and relates to a sparse vegetation height inversion method, which can be used for forest classification and mapping, large-area vegetation detection, and high-precision three-dimensional terrain surveying and mapping of complex terrain. Background technique [0002] Synthetic Aperture Radar (SAR) is an all-weather and all-weather space microwave remote sensing imaging radar, which can simultaneously realize high-resolution imaging of ground targets in both range and azimuth directions. Interferometric synthetic aperture radar InSAR uses the echo data of different antennas for interferometric processing, which can estimate the elevation of the ground, measure the height and speed of the ocean current, etc. Polarization synthetic aperture radar PolSAR realizes object classification and desertification assessment through full polarization measurement of the target. PolInSAR, a polarimetri...

AI Technical Summary

Problems solved by technology

This method uses the polarization coherence matrix to describe the polarization characteristics and interference characteristics of sparse vegetation, which improves the accuracy of describing the characteristics of sparse vegetation. The interference phase difference between the vegetation point coherence matrix and the surface point coherence matrix is ​​reduced, and the accuracy of using the polarization coherence matrix to estimate the scattering coherence coefficient of vegetation and the surface coherence coefficient is reduced, making the accuracy of sparse vegetation height inversion low

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