Wishart-based adaptive temporal filtering of polarimetric SAR imagery
| Autor: | Knut Conradsen, Allan Aasbjerg Nielsen, Morton J. Canty, Henning Skriver |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Wishart distribution
010504 meteorology & atmospheric sciences Computer science Science 0211 other engineering and technologies Polarimetry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Jupyter notebook 02 engineering and technology 01 natural sciences Dual- and quad-polarization SAR speckle filtering Software change detection 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing Change detection algorithms Docker business.industry Speckle reduction Polarimetric sar dual- and quad-polarization SAR Temporal filtering Speckle filtering General Earth and Planetary Sciences Change detection business Google Earth Engine |
| Zdroj: | Canty, M J, Nielsen, A A, Skriver, H & Conradsen, K 2020, ' Wishart-based adaptive temporal filtering of polarimetric SAR imagery ', Remote Sensing, vol. 12, no. 15, 2454 . https://doi.org/10.3390/RS12152454 Remote Sensing, Vol 12, Iss 2454, p 2454 (2020) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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