Repository logo
 

Two-dimensional adaptive block Kalman filtering of SAR imagery

Simple item page
dc.contributor.authorAzimi-Sadjadi, Mahmood R., author
dc.contributor.authorBannour, Sami, author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:43:06Z
dc.date.available2007-01-03T04:43:06Z
dc.date.issued1991
dc.description.abstractSpeckle effects are commonly observed in synthetic aperture radar (SAR) imagery. In airborne SAR systems the effect of this degradation reduces the accuracy of detection substantially. Thus, the elimination of this noise is an important task in SAR imaging systems. In this paper a new method for speckle noise removal is introduced using 2-D adaptive block Kalman filtering (ABKF). The image process is represented by an autoregressive (AR) model with nonsymmetric half-plane (NSHP) region of support. New 2-D Kalman filtering equations are derived which take into account not only the effect of speckles as a multiplicative noise but also those of the additive receiver thermal noise and the blur. This method assumes local stationarity within a processing window, whereas the image can be assumed to be globally nonstationary. A recursive identification process using the stochastic Newton approach is also proposed which can be used on-line to estimate the filter parameters based upon the information within each new block of the image. Simulation results on several images are provided to indicate the effectiveness of the proposed method when used to remove the effects of speckle noise as well as that of the additive noise.
dc.format.mediumborn digital
dc.format.mediumarticles
dc.identifier.bibliographicCitationAzimi-Sadjadi, Mahmood R. and Sami Bannour, Two-Dimensional Adaptive Block Kalman Filtering of SAR Imagery, IEEE Transactions on Geoscience and Remote Sensing 29, no.5 (September 1991): 742-753.
dc.identifier.urihttp://hdl.handle.net/10217/856
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1991 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectremote sensing by radar
dc.subjectKalman filters
dc.subjectadaptive filters
dc.subjectcomputerised picture processing
dc.subjectfiltering and prediction theory
dc.subjectgeophysics computing
dc.subjectrandom noise
dc.subjectspeckle
dc.titleTwo-dimensional adaptive block Kalman filtering of SAR imagery
dc.typeText

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ECEmra00016.pdf
Size:
1.19 MB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Faculty Publications