Abstract
Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution with an associated p-value and a factorization of this test statistic, change analysis in a time series of 19 multilook, dual polarization Sentinel-1 SAR data in the covariance matrix representation (with diagonal elements only) is carried out. The omnibus test statistic and its factorization detect if and when change occurs.
Original language | English |
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Title of host publication | Proceedings of Geoscience and Remote Sensing Symposium |
Number of pages | 8 |
Publisher | IEEE |
Publication date | 2017 |
Pages | 3901-3908 |
ISBN (Print) | 9781509049516 |
DOIs | |
Publication status | Published - 2017 |
Event | 2017 IEEE International Geoscience and Remote Sensing Symposium - Fort Worth, United States Duration: 23 Jul 2017 → 28 Jul 2017 https://ieeexplore.ieee.org/xpl/conhome/8118204/proceeding |
Conference
Conference | 2017 IEEE International Geoscience and Remote Sensing Symposium |
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Country/Territory | United States |
City | Fort Worth |
Period | 23/07/2017 → 28/07/2017 |
Internet address |
Series | IEEE International Geoscience and Remote Sensing Symposium Proceedings |
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ISSN | 2153-6996 |
Keywords
- Synthetic aperture radar
- Aircraft
- Covariance matrices
- Airports
- Earth
- Histograms