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Modeling trajectory of dynamic clusters in image time-series for spatio-temporal reasoning
2005
IEEE Transactions on Geoscience and Remote Sensing
During the last decades, satellites have acquired incessantly high-resolution images of many Earth observation sites. New products have arisen from this intensive acquisition process: high-resolution satellite image time-series (SITS). They represent a large data volume with a rich information content and may open a broad range of new applications. This paper presents an information mining concept which enables a user to learn and retrieve spatio-temporal structures in SITS. The concept is
doi:10.1109/tgrs.2005.847791
fatcat:uiarpp3dw5e4figd4fyktlzx7e