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Welcome to ISIDF2011
amount of data collected from satellite, airborne, and ground based imaging
systems, image and data fusion techniques are gaining more and more
importance. By integration of multi-sensor, multi-temporal, multi-resolution
and multi-platform image data, together with geospatial data, GIS, in-situ,
and other statistical data sets, more accurate information can be obtained
to provide for robust operational performance. This leads to increased
confidence, reduced ambiguity and improved classification to enable evidence
All the papers will be peer-reviewed. Selected papers will appear in the International Journal of Image and Data Fusion (IJIDF) published by Taylor & Francis. All papers resulting from the symposium will be published via IEEE Xplore and indexed by EI.
Chinese Academy of Surveying and Mapping (CASM)
ISPRS WG VII/6 - Remote Sensing Data Fusion
International Society of Photogrammetry and Remote Sensing
IEEE Geoscience and Remote Sensing Society
State Bureau of Surveying and Mapping
Last Change November