@inproceedings{1738d9db2345403793f66df9347e4546,
title = "Aspects of multivariate statistical theory with the application to change detection",
abstract = "This paper proposes a new method for change detection measurement including whole SAR imaging modes such as PolInSAR, partial PolInSAR and InSAR in a set of multi-temporal-multidimensional SAR images. The method is based on the special case of Kullback-Leibler (KL-divergence) test, known as Mutual Information. In order to develop an algorithm, firstly the joint distribution of PolInSAR data set, based on the second order statistics has been derived. Such a derivation accounts for the whole multi-temporal SAR images. Then the mutual information is used to measure the difference between the joint density of multi-temporal PolSAR data sets and their marginal density known as complex Wishart distribution. A comparison between the proposed and the other well-known change detection (e.g. cross correlation) technique is shown by means of real data, describing the advantages due to the fact that the proposed change detector involves almost every facet of the applied change detection.",
keywords = "Change detection, Information theory, Mutual information, PolInSAR",
author = "Esra Erten and Andreas Reigber and Olaf Hellwich",
year = "2010",
doi = "10.1109/IGARSS.2010.5653437",
language = "English",
isbn = "9781424495658",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1960--1963",
booktitle = "2010 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010",
address = "United States",
note = "2010 30th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010 ; Conference date: 25-07-2010 Through 30-07-2010",
}