Title :
Multisensor and Multitemporal Fusion of VHR Satellite Imagery Based on KIM
Author_Institution :
Inst. for Protection & Security of the Citizen, Joint Res. Centre of the Eur. Comm., Ispra, Italy
Abstract :
Similar to many advanced approaches in multisensor image analysis, image information mining (IIM) is hampered by sensor-specific differences in spatial resolution and spectral response. This study examines the representation of semantic categories integrating Ikonos and Quickbird imagery in the knowledge-based information mining system KIM. A processing sequence is presented, which accounts for sensor-related differences along with an evaluation of the application of IIM technologies in operational rapid-mapping scenarios.
Keywords :
cartography; data mining; geophysical image processing; image fusion; image resolution; remote sensing; Ikonos imagery; Quickbird imagery; VHR satellite imagery; image information mining; knowledge-based information mining system; multisensor fusion; multitemporal fusion; operational rapid-mapping scenario; sensor-related differences; Data fusion; KIM; image information mining (IIM); multisensor; rapid mapping;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2009.2019608
