Spectral Inpainting for the Restoration of Missing Data from Multispectral Satellite Sensors: Case study on Aqua MODIS Band 6

Abstract : In this letter, we introduce an algorithm for the restoration of missing data from multi- spectral satellite imagery. The proposed approach combines two simple principles; non local or neighborhood filters used in the context of still image denoising/inpainting and spectral matching techniques based on spectral similarity measures and required for the classification of hyperspectral images. The resulting semi-physical approach, refered to as spectral inpaint- ing, is applied to the particular issue of Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) band 6 (1628-1652 µm) non functional detectors and is shown to provide very good results compared to standard interpolation techniques.
Type de document :
Pré-publication, Document de travail
10 pages. 2011
Liste complète des métadonnées

Littérature citée [8 références]  Voir  Masquer  Télécharger

https://hal-imt.archives-ouvertes.fr/hal-00639083
Contributeur : Marouan Bouali <>
Soumis le : mardi 31 juillet 2012 - 04:41:56
Dernière modification le : jeudi 11 janvier 2018 - 06:23:38
Document(s) archivé(s) le : jeudi 1 novembre 2012 - 02:25:08

Fichier

Spectral_Inpainting.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00639083, version 2

Citation

Marouan Bouali, Saïd Ladjal. Spectral Inpainting for the Restoration of Missing Data from Multispectral Satellite Sensors: Case study on Aqua MODIS Band 6. 10 pages. 2011. 〈hal-00639083v2〉

Partager

Métriques

Consultations de la notice

293

Téléchargements de fichiers

89