Anomaly detection in multi-polarimetric radar images

Georgy Melamed, Stanley R. Rotman, Dan G. Blumberg, Anthony J. Weiss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An anomaly detection algorithm for SAR (Synthetic Aperture Radar) images, making use of multi-polarized data, is developed. The processing contains several stages including: calibration of the images, information parameters extraction and speckle filtering, suspect pixels detection and morphology operator application. The developed algorithm is independent of the anomaly radar cross section; it depends only on the physical structure. The proposed processing is non-iterative, adaptive and automatic. Performance evaluation shows improved performance of the algorithm over the common alternatives.

Original languageEnglish
Title of host publication2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008
Pages558-562
Number of pages5
DOIs
StatePublished - 2008
Event2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008 - Eilat, Israel
Duration: 3 Dec 20085 Dec 2008

Publication series

NameIEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

Conference

Conference2008 IEEE 25th Convention of Electrical and Electronics Engineers in Israel, IEEEI 2008
Country/TerritoryIsrael
CityEilat
Period3/12/085/12/08

Keywords

  • Anomaly detection
  • Cloude decomposition
  • Lee filter
  • Radar polarimetry
  • SRC algorithm

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