Speckle noise reduction of synthetic aperture radar imagery using Kalman filters.

dc.contributor.advisor	Ionescu, D.,
dc.contributor.author	Geling, Gary W.
dc.date.accessioned	2009-03-25T20:14:19Z
dc.date.available	2009-03-25T20:14:19Z
dc.date.created	1995
dc.date.issued	1995
dc.degree.level	Masters
dc.degree.name	M.A.Sc.
dc.description.abstract	Synthetic aperture radar (SAR) imagery is gaining increased usage as more systems become available and more applications are being developed. An "unfortunate" problem with SAR imagery is the high level of noise, often called speckle. The speckle effects reduce the utility of SAR imagery a great deal. This thesis will address the causes of speckle and many of the current methods that are used to reduce the speckle noise. Kalman filtering methods will then be adapted for use on SAR imagery taking into account the special properties of this type of filter and images.
dc.format.extent	153 p.
dc.identifier.citation	Source: Masters Abstracts International, Volume: 34-05, page: 2023.
dc.identifier.isbn	9780612077966
dc.identifier.uri	http://hdl.handle.net/10393/10356
dc.identifier.uri	http://dx.doi.org/10.20381/ruor-8249
dc.publisher	University of Ottawa (Canada)
dc.subject.classification	Engineering, Electronics and Electrical.
dc.title	Speckle noise reduction of synthetic aperture radar imagery using Kalman filters.
dc.type	Thesis

Files

Now showing 1 - 1 of 1