When the covariance matrix formulation is used for multi-look 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 bi-frequency, bi-temporal change detection with full and dual polarimetry data.
- Complex covariance matrix test statistic
- Complex wishart distribution
- Dual polarization
- Full polarization
- Remote sensing change detection
- Quad polarization
Nielsen, A. A., Conradsen, K., & Skriver, H. (2017). Corrections to “Change Detection in Full and Dual Polarization, Single- and Multi-Frequency SAR Data”. I E E E Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(11), 5143-5144. https://doi.org/10.1109/JSTARS.2017.2761038