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Journal article

Wishart-based adaptive temporal filtering of polarimetric SAR imagery

By Canty, Morton J.1; Nielsen, Allan A.2,3; Skriver, Henning4,5,6; Conradsen, Knut2,3

From

Jülich Research Centre1

Visual Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Department of Applied Mathematics and Computer Science, Technical University of Denmark3

National Space Institute, Technical University of Denmark4

Management, National Space Institute, Technical University of Denmark5

Microwaves and Remote Sensing, National Space Institute, Technical University of Denmark6

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.

Language: English
Publisher: MDPI AG
Year: 2020
Pages: 2454
ISSN: 20724292
Types: Journal article
DOI: 10.3390/RS12152454
ORCIDs: Nielsen, Allan A. , Skriver, Henning and Conradsen, Knut
Keywords

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

Other keywords

Q Science change detection dual- and quad-polarization SAR speckle filtering

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