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
© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.Keywords
- Complex covariance matrix test statistic
- Complex Wishart distribution
- Dual polarization
- Full polarization
- EMISAR
- Quad polarization
- Remote sensing change detection