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Information Fusion for Remote Sensing Satellite Networks

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If you have a question about this talk, please contact Taylan Cemgil.

We will commence by reviewing briefly the analytical techniques most often used with different remote sensing image types (multispectral optical, hyperspectral and radar) to produce ground feature maps; more attention will be given to radar owing to its complexity compared with optical imagery. After then looking at candidate procedures for fusing the information contents of the different imaging modalities, the particular problems presented by future networks of many simpler, but cooperating, imaging satellites will be outlined. Candidate methodologies for converging the inferences from individual platforms in such a context will be discussed, concluding that the most likely information fusion scenarios will be those that operate at the level of labelled pixels rather than those which seek to fuse data.

This talk is part of the Signal Processing and Communications Lab Seminars series.

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