Abstract
Based on a statistical test for the equality of polarimetric matrices following the complex Wishart distribution and a factorization of the test statistic, change analysis in a time series of multi-look polarimetric SAR data in variance-covariance or polarimetric matrix representation is carried out. The test statistic and its factorization detect if and when change(s) occur. This paper provides a short explanation of the method, describes available software, and gives examples of potential applications for site monitoring.
Original language | English |
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Title of host publication | Proceedings of the 39th ESARDA Symposium on Safeguards and Nuclear Non-Proliferation |
Number of pages | 6 |
Publisher | ESARDA Joint Research Centre |
Publication date | 2017 |
ISBN (Electronic) | 978-92-79-73861-6 |
Publication status | Published - 2017 |
Event | 39th ESARDA Symposium on Safeguards and Nuclear Non-Proliferation - Meliá Düsseldorf, Düsseldorf, Germany Duration: 16 May 2017 → 18 May 2017 Conference number: 39 https://esarda.jrc.ec.europa.eu/index.php?option=com_content&view=article&id=303&Itemid=350 |
Conference
Conference | 39th ESARDA Symposium on Safeguards and Nuclear Non-Proliferation |
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Number | 39 |
Location | Meliá Düsseldorf |
Country/Territory | Germany |
City | Düsseldorf |
Period | 16/05/2017 → 18/05/2017 |
Internet address |