Title: Multi-Sensor and Multi-Temporal Fusion of VHR Satellite Imagery based on KIM
Authors: MOLCH Katrin
Citation: IEEE Geoscience and Remote Sensing Letters vol. 7 no. 1 p. 48-52
Publisher: IEEE Geoscience and Remote Sensing Society
Publication Year: 2010
JRC N°: JRC48734
ISSN: 1545-598X
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC48734
DOI: 10.1109/LGRS.2009.2019608
Type: Articles in periodicals and books
Abstract: Similar to many advanced approaches in data fusion and multi-sensor 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. An operationally viable 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.
JRC Directorate:Space, Security and Migration

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