DEM Reconstruction of Coastal Geomorphology from DINSAR

The paper is focused on Digital Elevation Model (DEM) reconstruction from differential interferometry synthetic aperture radar (DInSAR). In doing so, conventional DInSAR procedures are implemented to three repeat passes of RADARSAT-1 SAR fine mode data (F1). Further, the multichannel MAP height estimator is implemented with phase unwrapping technique. Consequently, the multichannel MAP height estimator is used to eliminate the phase decorrelation impact from the interferograms. The study shows the performance of DInSAR method using the multichannel MAP height estimator is better than DInSAR technique which is validated by a lower range of error (0.01±0.11 m) with 90% confidence intervals. In conclusion, integration of the multichannel MAP height estimator with phase unwrapping produce accurate 3-D coastal geomorphology reconstruction.

[1]  Rudiger Gens.  The influence of input parameters on SAR interferometric processing and its implication on the calibration of SAR interferometric data , 2000 .

[3]  Giovanni Gallo,et al.  Modeling undertain data with fuzzy B-splines , 2000, Fuzzy Sets Syst..

[4]  Vito Pascazio,et al.  Maximum a posteriori estimation of height profiles in InSAR imaging , 2004, IEEE Geoscience and Remote Sensing Letters.

[5]  V. Pascazio,et al.  DEM Reconstruction Accuracy in Multichannel SAR Interferometry , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Charles Werner,et al.  Accuracy of topographic maps derived from ERS-1 interferometric radar , 1994, IEEE Trans. Geosci. Remote. Sens..

[7]  R. Hanssen.  Radar Interferometry: Data Interpretation and Error Analysis , 2001 .

[8]  Giampaolo Ferraioli,et al.  DEM Reconstruction in Layover Areas From SAR and Auxiliary Input Data , 2009, IEEE Geoscience and Remote Sensing Letters.

[9]  Umberto Spagnolini,et al.  2-D phase unwrapping and instantaneous frequency estimation , 1995, IEEE Trans. Geosci. Remote. Sens..

[10]  J. Muller,et al.  A study on the applicability of repeat‐pass SAR interferometry for generating DEMs over several Indian test sites , 2006 .

[11]  Maged Marghany,et al.  Mapping coastal geomorphology changes using synthetic aperture radar data , 2010 .

[12]  Yingning Peng,et al.  A fuzzy approach to filtering interferometric SAR data , 2007 .

[13]  K. Feigl,et al.  Radar interferometry and its application to changes in the Earth's surface , 1998 .

[14]  Maurizio Santoro,et al.  Multitemporal repeat pass SAR interferometry of boreal forests , 2005, IEEE Trans. Geosci. Remote. Sens..

[15]  Richard Bamler,et al.  Multiresolution phase unwrapping for SAR interferometry , 1999, IEEE Trans. Geosci. Remote. Sens..

[16]  P. Rosen,et al.  Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps , 1997 .

[17]  Maged Marghany.  Three-dimensional visualisation of coastal geomorphology using fuzzy B-spline of dinsar technique , 2011 .

[18]  Kota S. Rao,et al.  Error analysis in the digital elevation model of Kuwait desert derived from repeat pass synthetic aperture radar interferometry , 2010 .

[19]  Fabio Rocca,et al.  Multibaseline phase unwrapping for INSAR topography estimation , 2001 .

[20]  P. Rosen,et al.  SYNTHETIC APERTURE RADAR INTERFEROMETRY TO MEASURE EARTH'S SURFACE TOPOGRAPHY AND ITS DEFORMATION , 2000 .

[21]  Ivan Padron.  Recent Interferometry Applications in Topography and Astronomy , 2012 .

[22]  Rangaswamy Madugundu,et al.  Coherence-based land cover classification in forested areas of Chattisgarh, Central India, using environmental satellite—advanced synthetic aperture radar data , 2011 .