Extracting DEM from airborne X-band data based on PolInSAR
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 vegetat...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2015-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W4/35/2015/isprsarchives-XL-7-W4-35-2015.pdf |
| Summary: | 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. |
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| ISSN: | 1682-1750 2194-9034 |