Multiscale fusion of INSAR data for improved topographic mapping

Author

Slatton, K. Clint ; Crawford, Melba ; Teng, Larry

Author_Institution

Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA

Volume

1

fYear

2002

fDate

2002

Firstpage

69

Abstract

INSAR data from the ERS-1/2 platforms are combined with multiple sets of data acquired by the NASA/JPL TOPSAR platform to obtain statistically optimal high-resolution estimates of topography over the Finke River Gorge in central Australia. The INSAR data are fused using a multiscale Kalman smoother. The estimated topography preserves the spatial resolution of the TOPSAR data while smoothing noise and providing estimates where there was no TOPSAR coverage. It is shown that the estimation error associated with the multiscale Kalman smoother is smaller than that obtained with a deterministic least squares approach.

Keywords

geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; sensor fusion; spaceborne radar; synthetic aperture radar; terrain mapping; topography (Earth); Australia; ERS-1; ERS-2; Finke River Gorge; InSAR; SAR; TOPSAR; geophysical measurement technique; high-resolution; image fusion; interferometric SAR; land surface; land surface topography; multiscale Kalman smoother; multiscale fusion; radar image; radar imaging; radar remote sensing; spaceborne radar; synthetic aperture radar; terrain mapping; topographic mapping; Australia; Estimation error; Kalman filters; Least squares approximation; NASA; Rivers; Smoothing methods; Spatial resolution; Surfaces; Synthetic aperture radar interferometry;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1024944

Filename

1024944