Conference Proceeding

An optimization of the difference of covariance matrices for PolSAR change detection

Details

Citation

Marino A & Alonso-Gonzalez A (2017) An optimization of the difference of covariance matrices for PolSAR change detection. In: volume 2017-July. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017, Texas, USA, 23.07.2017-28.07.2017. Institute of Electrical and Electronics Engineers, pp. 5315-5318. https://doi.org/10.1109/IGARSS.2017.8128204

Abstract
SAR polarimetry (PolSAR) can play an important role in change detection both in terms of improving the detection capabilities and providing physical information regarding the change. In agricultural context, such information can be used to help retrieving the phenological stage and eventually identifying stress conditions. In this work, a new change detection based on PolSAR data is proposed. The methodology is based on the use of the normalised difference between covariance matrices acquired at two different instants. A diagonalisation of such matrix allows identifying the scattering mechanisms that suffer the largest change. The methodology is tested exploiting L-band quad-polarimetric E-SAR (DLR) data from the AGRISAR 2006 campaign.

Journal
International Geoscience and Remote Sensing Symposium (IGARSS): Volume 2017-July

StatusPublished
Publication date04/12/2017
Publication date online04/12/2017
ConferenceIEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2017
Conference locationTexas, USA
Dates

People (1)

People

Dr Armando Marino
Dr Armando Marino

Senior Lecturer in Earth Observation, Biological and Environmental Sciences