Change Detection in Full and Dual Polarization, Single- and Multi-Frequency SAR Data |
Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver
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Abstract | 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. |
Keywords | Complex covariance matrix test statistic, complex Wishart distribution, quad polarization, full polarization, dual polarization, remote sensing change detection, EMISAR. |
Type | Journal paper [With referee] |
Journal | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Year | 2015 Month August Vol. 8 No. 8 pp. 4041-4048 |
ISBN / ISSN | DOI 10.1109/JSTARS.2015.2416434 |
Note | CORRECTION: 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 link | http://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 |