Abstract
Abstract. Polarimetric Interferometric Synthetic Aperture Radar (PolInSAR) is a new trend of SAR remote sensing technology which combined polarized multichannel information and Interferometric information. It is of great significance for extracting DEM in some regions with low precision of DEM such as vegetation coverage area and building concentrated area. In this paper we describe our experiments with high-resolution X-band full Polarimetric SAR data acquired by a dual-baseline interferometric airborne SAR system 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 full polarimetric interferometry data. Then we can make use of the polarimetric interferometric information to extract DEM with processing 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 named SARPlore has been exploited based on VC++ led by Chinese Academy of Surveying and Mapping. Finally compared optimization results with the single polarimetric interferometry, it has been observed that optimization ways can reduce the interferometric noise and the phase unwrapping residuals, and improve the precision of DEM. The result of full polarimetric interferometry is better than double polarimetric interferometry. Meanwhile, in different terrain, the result of full polarimetric interferometry will have a different degree of increase.
Highlights
As a kind of active sensor, Synthetic Aperture Radar (SAR) can realize all day, all-weather observation without restriction of lighting and weather conditions, and can get the information of the earth's surface and subsurface of vegetation, these characteristics make it in agriculture, forestry, geology, environment, hydrology, Marine, disasters, the application of surveying and mapping and military field has a unique advantage
Case, is the polarization interference still superior to the conventional interferometry method? Are different optimization methods and different polarization channels on the improvement of the Digital Elevation Model (DEM) precision consistent? In this paper we describe our experiments with high-resolution X-band full Polarimetric SAR data acquired by a dual-baseline interferometric airborne SAR system over an area of Danling in southern China
In the area of 37 to 42 points with density trees or tall building, body scattering to coherent and geometry to coherent can restrict the reliability of generating the high precision DEM, especially body scattering to coherent caused by scattering center height difference in the resolution cell, while polarization coherent interference optimal process can effectively reduce the decorrelation caused by scattering center height difference in an effective resolution cell.SO in this area the precision of DEM got by PolInSAR has a great degree of increase than the single polarimetric interferometry, and the Singular Value Decomposition (SVD) has a significant change compared to the method of Pauli
Summary
As a kind of active sensor, Synthetic Aperture Radar (SAR) can realize all day, all-weather observation without restriction of lighting and weather conditions, and can get the information of the earth's surface and subsurface of vegetation, these characteristics make it in agriculture, forestry, geology, environment, hydrology, Marine, disasters, the application of surveying and mapping and military field has a unique advantage. Polarization coherent interference optimal process can effectively reduce the decorrelation caused by scattering center height difference in an effective resolution cell, especially in the area of the surface vegetation, the correlation is more serious. The polarization interference coherent optimal process can effectively eliminate the residual decorrelation caused by scattering component, greatly improve the coherence. DEM precision is generated by the PolInSAR can be significantly improved, at present a lot of research proves this point: Papathanassiou (Cloude,1997) makes use of the SIR - C/X SAR data to study the influence to coherence of frequency and polarization, this is the origin of introducing polarization to InSAR.
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