Generation of Sample Complex Wishart Distributed Matrices and Change Detection in Polarimetric SAR Data 
Allan Aasbjerg Nielsen, Henning Skriver, Knut Conradsen

Abstract  The complex Wishart distribution is used to describe synthetic aperture radar (SAR) data in the socalled covariance matrix representation. We give a test statistic for detection of differences between two instances in this distribution and an associated probability measure. Generated complex Wishart distributed covariance matrices are used to show that this test statistic and the probability measure in situations with no differences follow the expected distributions. 
Type  Conference paper [With referee] 
Conference  International Conference on Digital Image and Signal Processing (DISP) 
Year  2019 Month April 
ISBN / ISSN  9781912532056 
Note  Matlab code in zip file. SAR input images to wishart_change are images of the (rowwise) upperright elements of the covariance or coherency matrix, e.g. for full polarimetry: a vector with nine real (i.e., noncomplex) elements, namely [ShhShh* Re(ShhShv*) Im(ShhShv*) Re(ShhSvv*) Im(ShhSvv*) ShvShv* Re(ShvSvv*) Im(ShvSvv*) SvvSvv*]. 
Electronic version(s)  [pdf] [zip] 
Publication link  http://dispconference.org/Proceedings/Proceedings%20of%20DISP'19.pdf 
BibTeX data  [bibtex] 
IMM Group(s)  Image Analysis & Computer Graphics 