Title :
Multi-resolution, multi-sensor image fusion: general fusion framework
Author :
Palubinskas, Gintautas ; Reinartz, Peter
Author_Institution :
Remote Sensing Technol. Inst., German Aerosp. Center DLR, Wessling, Germany
Abstract :
Multi-resolution image fusion also known as pan-sharpening aims to include spatial information from a high resolution image, e.g. panchromatic or Synthetic Aperture Radar (SAR) image, into a low resolution image, e.g. multi-spectral or hyper-spectral image, while preserving spectral properties of a low resolution image. A signal processing view at this problem allowed us to perform a systematic classification of most known multi-resolution image fusion approaches and resulted in a General Framework for image Fusion (GFF) which is very well suitable for a fusion of multi-sensor data such as optical-optical and optical-radar imagery. Examples are presented for WorldView-1/2 and TerraSAR-X data.
Keywords :
geophysical image processing; image fusion; image resolution; synthetic aperture radar; general framework for image fusion; image classification; multiresolution image fusion; multisensor image fusion; optical-optical imagery; optical-radar imagery; pansharpening; signal processing; spatial information; Image fusion; Interpolation; Optical sensors; Remote sensing; Signal resolution; Spatial resolution;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2011 Joint
Conference_Location :
Munich
Print_ISBN :
978-1-4244-8658-8
DOI :
10.1109/JURSE.2011.5764782