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Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) is a new trend of SAR remote sensing technology whichcombined polarized multichannel information and Interferometric information. It is of great significance for extracting DEM in someregions with low precision of DEM such as vegetation coverage area and building concentrated area. In this paper we describe ourexperiments with high-resolution X-band full Polarimetric SAR data acquired by a dual-baseline interferometric airborne SARsystem over an area of Danling in southern China. Pauli algorithm is used to generate the double polarimetric interferometry data,Singular Value Decomposition (SVD), Numerical Radius (NR) and Phase diversity (PD) methods are used to generate the fullpolarimetric interferometry data. Then we can make use of the polarimetric interferometric information to extract DEM withprocessing of pre filtering , image registration, image resampling, coherence optimization, multilook processing, flat-earth removal,interferogram filtering, phase unwrapping, parameter calibration, height derivation and geo-coding. The processing system namedSARPlore has been exploited based on VC++ led by Chinese Academy of Surveying and Mapping. Finally compared optimizationresults with the single polarimetric interferometry, it has been observed that optimization ways can reduce the interferometric noiseand the phase unwrapping residuals, and improve the precision of DEM. The result of full polarimetric interferometry is better thandouble polarimetric interferometry. Meanwhile, in different terrain, the result of full polarimetric interferometry will have a differentdegree of increase

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Extracting DEM from airborne X-band data based on PolInSAR