University of Surrey

Test tubes in the lab Research in the ATI Dance Research

S- and X-band SAR data fusion

Guida, R and Ng, SW (2015) S- and X-band SAR data fusion In: APSAR 2015 (2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar), 2015-09-01 - 2015-09-04, Marina Bay Sands, Singapore.

S- and X-band SAR data fusion.pdf - Accepted version Manuscript
Available under License : See the attached licence file.

Download (768kB) | Preview
Text (licence)
Available under License : See the attached licence file.

Download (33kB) | Preview


This paper investigates the benefits deriving from introducing a wavelet-transform-based fusion framework for multi-frequency Synthetic Aperture Radar (SAR) data. A specific application is considered in the assessment of the fused classification map derived and this is the discrimination of different kinds of oil in sea. S-band and X-band datasets, concurrently acquired from the same airborne platform, have here been used. The findings suggest that fusing S-band and X-band SAR data does improve the oil type discrimination between crude oil and diesel oil used in the exercise, although a more quantitative analysis should be conducted in the future to measure the degree of improvement.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Surrey Space Centre
Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Date : 30 September 2015
Identification Number : 10.1109/APSAR.2015.7306275
Copyright Disclaimer : © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
Uncontrolled Keywords : Synthetic Aperture Radar (SAR), S-band, X-band, Data fusion, Wavelet transform, Oil discrimination, Oil spill
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 16 Sep 2016 13:30
Last Modified : 31 Oct 2017 18:43

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800