Speckle reduction in SAR imagery by Lp normed filtering

Jim Schroeder, Tamal Bose

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The presence of speckle in SAR images increases the probability of false alarms in image prescreening algorithms designed to automatically detect small targets. In order to reduce the level of speckle in SAR images a wide variety of image processing techniques have been developed. Speckle reduction has been accomplished via low pass filtering, median filtering, adaptive filtering, wavelet based filtering, and various iterative techniques such as the gamma filter. For this paper we develop an Lp normed filter structure. The filter weights are adaptive, based upon a conventional multiplicative noise model of the speckle phenomena in SAR imagery. The adaptive filter for the Lp, p=2 case, is equivalent to the "Frost" filter, and is based upon second order statistics of the multiplicative noise and assumed image model. The filter is tested against SAR data and is shown to reduce the number of false alarms as compared to several other speckle reduction filters.

Original languageEnglish (US)
Title of host publicationConference Record of the Asilomar Conference on Signals, Systems and Computers
EditorsM.B. Matthews
Pages365-370
Number of pages6
Volume1
Publication statusPublished - 2001
Externally publishedYes
Event35th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 4 2001Nov 7 2001

Other

Other35th Asilomar Conference on Signals, Systems and Computers
CountryUnited States
CityPacific Grove, CA
Period11/4/0111/7/01

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Keywords

  • (11) Radar and Sonar Processing
  • (7) Speech, Audio, and Image/Video Processing

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Schroeder, J., & Bose, T. (2001). Speckle reduction in SAR imagery by Lp normed filtering. In M. B. Matthews (Ed.), Conference Record of the Asilomar Conference on Signals, Systems and Computers (Vol. 1, pp. 365-370)