DocumentCode :
143328
Title :
Fusion of multi-frequency interferometric results by using Kalman filter to generate high quality DEM
Author :
Xiaojie Zhang ; Qiming Zeng ; Jian Jiao ; Siting Xiong
Author_Institution :
Inst. of Remote Sensing & GIS, Peking Univ., Beijing, China
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
2233
Lastpage :
2236
Abstract :
Using conventional two-pass interferometry to generate DEM with high frequency SAR data may be confronted with the problem of poor coherence in areas covered by dense vegetation, while DEM generated from low frequency SAR data interferometry is less sensitive to the topographic relief. Therefore, this article aims at generating high quality DEM by fusing multi-frequency interferometric results obtained from two-pass interferometry by using Kalman filter. Meanwhile, a process of coregistration of multi-frequency SAR data which are of different pixel sizes and imaging geometries is proposed. And data from Envisat ASAR and TerraSAR-X are used for case study and the accuracy of fused DEM are verified by ASTER GDEM.
Keywords :
Kalman filters; digital elevation models; geophysical techniques; synthetic aperture radar; topography (Earth); vegetation; ASTER GDEM; Envisat ASAR data; Kalman filter; TerraSAR-X data; conventional two-pass interferometry; dense vegetation; fused DEM accuracy; high frequency SAR data; high quality DEM; imaging geometry; low frequency SAR data interferometry; multifrequency SAR data coregistration process; multifrequency interferometric result fusion; pixel size; poor coherence problem; topographic relief; Accuracy; Coherence; Interferometry; Kalman filters; Synthetic aperture radar; Vegetation mapping; Fusion; InSAR; Kalman filter; coregistration; multi-frequency;
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.2014.6946913
Filename :
6946913
Link To Document :
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