An efficient approach for multi-temporal hyperspectral images interpretation based on high-order tensor

S. Hemissi; I.R. Farah; K. Saheb Ettabaa; B. Solaiman

doi:10.1117/12.898015

26 October 2011 An efficient approach for multi-temporal hyperspectral images interpretation based on high-order tensor

S. Hemissi, I.R. Farah, K. Saheb Ettabaa, B. Solaiman

Proceedings Volume 8180, Image and Signal Processing for Remote Sensing XVII; 81800J (2011) https://doi.org/10.1117/12.898015
Event: SPIE Remote Sensing, 2011, Prague, Czech Republic

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.

Citation Download Citation

S. Hemissi, I.R. Farah, K. Saheb Ettabaa, and B. Solaiman "An efficient approach for multi-temporal hyperspectral images interpretation based on high-order tensor", Proc. SPIE 8180, Image and Signal Processing for Remote Sensing XVII, 81800J (26 October 2011); https://doi.org/10.1117/12.898015

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