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- W2000454061 abstract "The main purpose of this paper is to propose and to validate a new multi-temporal algorithm for hyperspectral endmembers extraction. The advanced approach is based on multi-linear algebra, spectral analysis and tensor data structure for each pixel. The detection of an endmember in the time series is done by the interpretation of the spatial-temporal signature in a multi-dimensional tonsorial space. Thus, the images could have different resolutions and could be coming from different dates. A multi-temporal synthetic and Hyperion series images were used to assess the effectiveness of the proposed algorithm. The obtained results show good performances with both permanent and temporal known features." @default.
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- W2000454061 date "2011-10-06" @default.
- W2000454061 modified "2023-09-23" @default.
- W2000454061 title "An efficient approach for multi-temporal hyperspectral images interpretation based on high-order tensor" @default.
- W2000454061 doi "https://doi.org/10.1117/12.898015" @default.
- W2000454061 hasPublicationYear "2011" @default.
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