Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction

Giorgio Antonino Licciardi (1) , Muhammad Murtaza Khan (2) , Jocelyn Chanussot (1) , Annick Montanvert (3) , Laurent Condat (4) , Christian Jutten (5)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 NUST - National University of Sciences and Technology [Islamabad]
3 GIPSA-AGPIG - GIPSA - Architecture, Géométrie, Perception, Images, Gestes
4 Equipe Image - Laboratoire GREYC - UMR6072
5 GIPSA-VIBS - GIPSA - Vision and Brain Signal Processing

This paper presents a novel method for the enhancement of spatial quality of Hyperspectral (HS) images while making use of a high resolution panchromatic (PAN) image. Due to the high number of bands the application of a pansharpening technique to HS images may result in an increase of the computational load and complexity. Thus a dimensionality reduction preprocess, compressing the original number of measurements into a lower dimensional space, becomes mandatory. To solve this problem we propose a pansharpening technique combining both dimensionality reduction and fusion, exploited by non-linear Principal Component Analysis (NLPCA) and Indusion respectively, to enhance the spatial resolution of a hyperspectral image.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Giorgio Antonino Licciardi, Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat, et al.. Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction. IGARSS 2011 - IEEE International Geoscience and Remote Sensing Symposium, Jul 2011, Vancouver, Canada. pp.1783-1786, ⟨10.1109/IGARSS.2011.6049466⟩. ⟨hal-00696054⟩