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Communication Dans Un Congrès Année : 2014

Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods

Résumé

The interpretation of hyperspectral imagery is an essential task for classification, changes detection and monitoring of natural phenomena. One challenge of the processing hyperspectral images, with better spectral and temporal resolution is the huge amount of data volume and the interpretation in high dimensionality data. Various techniques have been developed in the literature for dimensionality reduction, generally divided into two main categories: projection techniques and bands selection techniques. In this work, we present a new approach for interpretation in hyperspectral imagery based on hybrid dimensionality reduction methods. The presented approach combines a projection method with a bands selection method. Indeed, the objective of the research is to obtain an efficient hyperspectral image interpretation. The performances of the proposed approach were evaluated using AVIRIS hyperspectral image.
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Dates et versions

hal-01212324 , version 1 (06-10-2015)

Identifiants

  • HAL Id : hal-01212324 , version 1

Citer

Akrem Sellami, Karim Saheb Ettabaa, Imed Riadh Farah, Basel Solaiman. Interpretation of hyperspectral imagery based on hybrid dimensionality reduction methods. IPAS 2014 : International Image Processing and Systems Conference, Nov 2014, Hammamet, Tunisia. ⟨hal-01212324⟩
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