Abstract
When the covariance matrix formulation is used for multilook polarimetric synthetic aperture radar (SAR) data, the complex Wishart distribution applies. Based on this distribution, a test statistic for equality of two complex variance–covariance matrices and an associated asymptotic probability of obtaining a smaller value of the test statistic are given. In a case study, airborne EMISAR C- and L-band SAR images from the spring of 1998 covering agricultural fields and wooded areas near Foulum, Denmark, are used in single- and bifrequency, bitemporal change detection with full and dual polarimetry data.
| Original language | English |
|---|---|
| Journal | I E E E Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Volume | 8 |
| Issue number | 8 |
| Pages (from-to) | 4041-4048 |
| ISSN | 1939-1404 |
| DOIs | |
| Publication status | Published - 2015 |
Bibliographical note
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- Complex covariance matrix test statistic
- Complex Wishart distribution
- Dual polarization
- Full polarization
- EMISAR
- Quad polarization
- Remote sensing change detection