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 |
|---|---|
| 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 |
|---|---|
| Number | 39 |
| Location | Meliá Düsseldorf |
| Country/Territory | Germany |
| City | Düsseldorf |
| Period | 16/05/2017 → 18/05/2017 |
| Internet address |
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