Change Detection in Full and Dual Polarization, Single- and Multi-Frequency SAR Data

Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver

AbstractWhen 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.
KeywordsComplex covariance matrix test statistic, complex Wishart distribution, quad polarization, full polarization, dual polarization, remote sensing change detection, EMISAR.
TypeJournal paper [With referee]
JournalIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year2015    Month August    Vol. 8    No. 8    pp. 4041-4048
ISBN / ISSNDOI 10.1109/JSTARS.2015.2416434
NoteCORRECTION: the four figures in page 4044 are not correct; corrected figures can be found on http://people.compute.dtu.dk/alan/JSTARS2015correction.pdf. - Matlab code in zip-file. Mort Canty has ENVI/IDL and Python code on https://github.com/mortcanty/.
Electronic version(s)[pdf] [zip]
Publication linkhttp://orbit.dtu.dk/en/publications/change-detection-in-full-and-dual-polarization-single-and-multifrequency-sar-data(13fd0be5-c76a-4bab-9515-015d33cf4936).html
BibTeX data [bibtex]
IMM Group(s)Image Analysis & Computer Graphics


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