DocumentCode
142578
Title
A spectral diversity based approach for DEM reconstruction
Author
Xinglin Li ; Hongjun Song ; Wang, Robert ; Kangning Du ; Ying Leng
Author_Institution
Grad. Univ. of Chinese Acad. of Sci., Beijing, China
fYear
2014
fDate
13-18 July 2014
Firstpage
478
Lastpage
481
Abstract
In this letter, an approach based on spectral diversity and conventional Interferometric Synthetic Aperture Radar (InSAR) for Digital Elevation Model (DEM) reconstruction is proposed. Conventional InSAR technique often fails to correctly reconstruct the DEM due to the presence of discontinuities and/or interferometric noise. With the assistance of the spectral diversity method, the ill-posed phase-unwrapping can be regularized. Thus the capabilities of the conventional InSAR technique for DEM reconstruction can be notably improved. Comparing to the multi-channel InSAR technique, the proposed method requires less SAR images. Comparing to the multifrequency technique, the performance of the proposed method depends on the perpendicular or effective baseline and the ratio of the radar´s carry frequency to the bandwidth between the central frequencies of the two sub-looks; while the multifrequency technique depends more on the range bandwidth. Thus, the proposed method is more flexible than the multifrequency technique. The effectiveness of the proposed algorithm is validated by experimental results using real data.
Keywords
digital elevation models; geophysical image processing; geophysical techniques; image reconstruction; remote sensing by radar; synthetic aperture radar; DEM reconstruction; InSAR; Interferometric Synthetic Aperture Radar; SAR images; digital elevation model; ill-posed phase-unwrapping; multichannel InSAR technique; multifrequency technique; spectral diversity based approach; spectral diversity method; Bandwidth; Diversity methods; Filtering; Image reconstruction; Noise; Remote sensing; Synthetic aperture radar; Digital Elevation Model (DEM); Synthetic aperture radar (SAR) Interferometric phase; spectral diversity;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6946463
Filename
6946463
Link To Document