15 July 2004 Improving multisource image fusion using thematic content
Author Affiliations +
Proceedings Volume 5438, Visual Information Processing XIII; (2004); doi: 10.1117/12.541678
Event: Defense and Security, 2004, Orlando, Florida, United States
Abstract
This study investigates the use of thematic class correspondence in the fusion of hyperspectral data with higher spatial resolution synthetic aperture radar (SAR) data. A thematic map derived from the SAR imagery is used to introduce spatial information into the hyperspectral imagery, a spatial-spectral fusion. Because the underlying physical processes measured by the imaging systems substantially differ, classes derived from one may have partial or no relationship to classes from the other. In our approach, SAR-derived class contributions to a mixed hyperspectral pixel are weighted in the fusion process based on their correspondence with spectral classes. Unconstrained and weighted least squares solutions for the resulting linear system are described. A comparison of fusion results is presented with and without use of thematic content.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel P. Filiberti, Robert A. Schowengerdt, "Improving multisource image fusion using thematic content", Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); doi: 10.1117/12.541678; https://doi.org/10.1117/12.541678
PROCEEDINGS
9 PAGES


SHARE
KEYWORDS
Image fusion

Data fusion

Synthetic aperture radar

Spatial resolution

Reflectivity

Sensors

Hyperspectral imaging

Back to Top