NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
A model for radar images and its application to adaptive digital filtering of multiplicative noiseStandard image processing techniques which are used to enhance noncoherent optically produced images are not applicable to radar images due to the coherent nature of the radar imaging process. A model for the radar imaging process is derived in this paper and a method for smoothing noisy radar images is also presented. The imaging model shows that the radar image is corrupted by multiplicative noise. The model leads to the functional form of an optimum (minimum MSE) filter for smoothing radar images. By using locally estimated parameter values the filter is made adaptive so that it provides minimum MSE estimates inside homogeneous areas of an image while preserving the edge structure. It is shown that the filter can be easily implemented in the spatial domain and is computationally efficient. The performance of the adaptive filter is compared (qualitatively and quantitatively) with several standard filters using real and simulated radar images.
Document ID
19820041611
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Frost, V. S.
(Kansas Univ. Center for Research, Inc. Lawrence, KS, United States)
Stiles, J. A.
(Kansas Univ. Center for Research, Inc. Lawrence, KS, United States)
Shanmugan, K. S.
(Kansas Univ. Center for Research, Inc. Lawrence, KS, United States)
Holtzman, J. C.
(University of Kansas Center for Research, Inc., Lawrence KS, United States)
Date Acquired
August 10, 2013
Publication Date
March 1, 1982
Publication Information
Publication: IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume: PAMI-4
Subject Category
Instrumentation And Photography
Accession Number
82A25146
Funding Number(s)
CONTRACT_GRANT: DAAG29-77-G-0075
CONTRACT_GRANT: NAS7-100
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available