Spatial vector filtering to reduce noise in interferometric phase images

Reeves, B., Homer, J. P., Stickley, G. F., Noon, D. A. and Longstaff, I. D. (1999). Spatial vector filtering to reduce noise in interferometric phase images. In: T. L. Stein, Proceedings of the IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99, Hamburg, Germany, (260-263). 28 June - 2 July 1999.

Author Reeves, B.
Homer, J. P.
Stickley, G. F.
Noon, D. A.
Longstaff, I. D.
Title of paper Spatial vector filtering to reduce noise in interferometric phase images
Conference name IGARSS'99
Conference location Hamburg, Germany
Conference dates 28 June - 2 July 1999
Proceedings title Proceedings of the IEEE 1999 International Geoscience and Remote Sensing Symposium
Journal name International Geoscience and Remote Sensing Symposium (IGARSS)
Series International Geoscience and Remote Sensing Symposium (IGARSS)
Place of Publication USA
Publisher IEEE
Publication Year 1999
Sub-type Fully published paper
Open Access Status Not yet assessed
ISBN 0-7803-5207-6
Editor T. L. Stein
Volume 1
Start page 260
End page 263
Total pages 4
Language eng
Abstract/Summary Spatial filtering to reduce noise is an important process to improve phase measurements in interferometric imaging. Currently these techniques are predominately based on filtering the interferometric phase. However the amplitude, which is ignored or only used to a minimal extent in conventional filtering, holds useful information about the nature of the phase measurement. When combining multilook images, adding the full complex vectors produces a least mean square estimate of the interferometric phase. Utilising this principle, a new spatial filtering technique is introduced. In this technique, a compromise is suggested where the square-root of the interferometric amplitude is taken prior to summing the spatially weighted vectors. To deduce the weights for the filtering function it was necessary to utilise a Monte-Carlo approach, which calculates the filter weights via an iterative minimisation procedure. The main application for this filter is to improve the quality of displacement maps obtained by a ground based interferometric radar system that monitors rock slope movement in a mining environment. For this application high SNR is expected, however, due to speckle, large errors can still be present in the image. The filter is designed to reduce these errors. Using simulated data and C-Band ERS images, the new spatial vector filter is shown to produce improved phase measurements compared with conventional filtering techniques.
Subjects E3
099902 Engineering Instrumentation
0906 Electrical and Electronic Engineering
Q-Index Code E3
Institutional Status UQ

Document type: Conference Paper
Sub-type: Fully published paper
Collection: School of Information Technology and Electrical Engineering Publications
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 10 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Sat, 07 Jun 2008, 02:36:46 EST