Site Monitoring with Synthetic Aperture Radar Satellite Imagery |
Morton John Canty, Allan Aasbjerg Nielsen
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| 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. |
| Type | Conference paper [With referee] |
| Conference | 39th ESARDA Symposium on Safeguards and Nuclear Non-Proliferation |
| Year | 2017 Month May |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |