A change detector based on an optimization with polarimetric SAR imagery

Citation

Marino A & Hajnsek I (2014) A change detector based on an optimization with polarimetric SAR imagery. IEEE Transactions on Geoscience and Remote Sensing, 52 (8), pp. 4781-4798. https://doi.org/10.1109/TGRS.2013.2284510

Abstract
The possibility to detect changes in land cover with remote sensing is particularly valuable considering the current availability of long time series of data. Synthetic Aperture Radar (SAR) can play an important role in this context since it can acquire complete time series without limitations of cloud cover. Additionally, polarimetry has the potential to improve significantly the detection capability, allowing the discrimination between different polarimetric targets. This paper is focused on developing two new methodologies for testing the stability of observed targets (i.e., equiscattering-mechanism hypothesis) and change detection. Both the algorithms adopt a Lagrange optimization, which can be performed with two eigenproblems. Interestingly, the two optimizations share the same eigenvectors. Three statistical tests are proposed to set the threshold for the change detector. Two of them are mostly aimed at point targets, and one is more suited for distributed targets.

Keywords
Detectors; Optimization; Coherence; Eigenvalues and eigenfunctions; Clutter; Covariance matrices

Journal
IEEE Transactions on Geoscience and Remote Sensing: Volume 52, Issue 8

People

Dr Armando Marino

Associate Professor, Biological and Environmental Sciences