Wishart-based adaptive temporal filtering of polarimetric SAR imagery

Morton J. Canty; Allan A. Nielsen; Henning Skriver; Knut Conradsen

doi:10.3390/RS12152454

Wishart-based adaptive temporal filtering of polarimetric SAR imagery

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

^*Corresponding author for this work

Jülich Research Centre

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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 language	English
Article number	2454
Journal	Remote Sensing
Volume	12
Issue number	15
Number of pages	11
ISSN	2072-4292
DOIs	https://doi.org/10.3390/RS12152454
Publication status	Published - 2020

Keywords

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

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10.3390/RS12152454

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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.",

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AB - 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.

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KW - Change detection

KW - Speckle filtering

KW - Google Earth Engine

KW - Docker

KW - Jupyter notebook

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Wishart-based adaptive temporal filtering of polarimetric SAR imagery

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Keywords

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