Wishart-based adaptive temporal filtering of polarimetric SAR imagery

Morton J. Canty*, Allan A. Nielsen, Henning Skriver, Knut Conradsen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

Temporal filtering for speckle reduction of polarimetric SARimages is described. The method is based on a sequential complex Wishart-based change detection algorithm which is applied to polarized SAR imagery, including the dual-polarization intensity data archived on the Google Earth Engine (GEE). Software for convenient application and analysis is presented. Results compare favorably with, and improve upon, standard spatial and temporal filters for speckle reduction.
Original languageEnglish
Article number2454
JournalRemote Sensing
Volume12
Issue number15
Number of pages11
ISSN2072-4292
DOIs
Publication statusPublished - 2020

Keywords

  • Dual- and quad-polarization SAR
  • Change detection
  • Speckle filtering
  • Google Earth Engine
  • Docker
  • Jupyter notebook

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