Article
Details
Citation
Akbari V, Anfinsen SN, Doulgeris AP, Eltoft T, Moser G & Serpico SB (2016) Polarimetric SAR Change Detection With the Complex Hotelling–Lawley Trace Statistic. IEEE Transactions on Geoscience and Remote Sensing, 54 (7), pp. 3953-3966. https://doi.org/10.1109/tgrs.2016.2532320
Abstract
In this paper, we propose a new test statistic for unsupervised change detection in polarimetric radar images. We work with multilook complex covariance matrix data, whose underlying model is assumed to be the scaled complex Wishart distribution. We use the complex-kind Hotelling-Lawley trace (HLT) statistic for measuring the similarity of two covariance matrices. The distribution of the HLT statistic is approximated by a Fisher-Snedecor distribution, which is used to define the significance level of a false alarm rate regulated change detector. Experiments on simulated and real PolSAR data sets demonstrate that the proposed change detection method gives detection rates and error rates that are comparable with the generalized likelihood ratio test.
Journal
IEEE Transactions on Geoscience and Remote Sensing: Volume 54, Issue 7
Status | Published |
---|---|
Funders | |
Publication date | 31/07/2016 |
Publication date online | 15/03/2016 |
Date accepted by journal | 17/02/2016 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
ISSN | 0196-2892 |
People (1)
Lect in Artificial Intelligence/Data Sci, Computing Science and Mathematics - Division