Title :
Template based matching of optical and SAR imagery
Author :
Palubinskas, Gintautas ; Reinartz, Peter
Author_Institution :
Remote Sensing Technol. Inst., German Aerosp. Center DLR, Oberpfaffenhofen, Germany
fDate :
March 30 2015-April 1 2015
Abstract :
Very high resolution radar satellites such as TerraSAR-X open new possibilities for image registration due to their very accurate absolute geo-location. Thus optical and SAR imagery registration seems to be an attractive solution for accurate and automatic common tie points extraction. We propose to use template based image matching approach because it allows defining features/templates using a priori information from the scene/image. The approach works as follows: first quite complex features e.g. roundabouts/junctions are extracted in the optical image, then these features are simulated in SAR and finally they are compared/matched on patch/area basis with the SAR image. The approach is illustrated for very high resolution satellite optical WorldView-2 and radar TerraSAR-X imagery.
Keywords :
feature extraction; geophysical image processing; image matching; image registration; image resolution; optical images; optical radar; radar imaging; radar resolution; spaceborne radar; synthetic aperture radar; SAR imagery; automatic common tie point extraction; image registration; optical imagery; radar TerraSAR-X imagery; roundabout-junction extraction; template based image matching approach; very accurate absolute geolocation; very high resolution radar satellite optical WorldView-2; Adaptive optics; Data mining; Feature extraction; Optical filters; Optical imaging; Optical sensors; Synthetic aperture radar;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2015 Joint
Conference_Location :
Lausanne
DOI :
10.1109/JURSE.2015.7120349