Skip to main content

Neural network-assisted reconstruction of full polarimetric SAR information

Le, Thanh-Hai and McLoughlin, Ian Vince and Lee, Ken Yoong and Bretschneider, Timo Rolf (2010) Neural network-assisted reconstruction of full polarimetric SAR information. In: 4th International Symposium on Communications, Control and Signal Processing (ISCCSP). IEEE. ISBN 978-1-4244-6285-8. E-ISBN 978-1-4244-6287-2. (doi:10.1109/ISCCSP.2010.5463414) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:48808)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/ISCCSP.2010.5463414

Abstract

This paper describes a novel approach to the reconstruction of synthetic aperture radar (SAR) fully polarimetric data from compact polarimetry (CP) ¿/4 mode. A method is developed which utilises a multi-layer perceptron (MLP) based neural network, to perform reconstruction of scenes with various ground-cover types. In particular, the approach shows potential for the reconstruction of full polarimetry for built-up areas as a complement to existing techniques which are more suitable for natural land cover areas. Performance assessment is presented, using both L-band and C-band data, involving comparison with existing techniques using mean-squared and mean-squared-log measures.

Item Type: Book section
DOI/Identification number: 10.1109/ISCCSP.2010.5463414
Uncontrolled keywords: least mean squares methods, multilayer perceptrons, radar polarimetry, synthetic arpeture radar, c-band data, l-band, compact polarimetry, neural networks, image reconstruction, image storage, polarization
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Ian McLoughlin
Date Deposited: 07 Sep 2015 15:29 UTC
Last Modified: 16 Nov 2021 10:19 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/48808 (The current URI for this page, for reference purposes)

University of Kent Author Information

McLoughlin, Ian Vince.

Creator's ORCID: https://orcid.org/0000-0001-7111-2008
CReDIT Contributor Roles:
  • Depositors only (login required):

Total unique views for this document in KAR since July 2020. For more details click on the image.