Spectral Inpainting for the Restoration of Missing Data from Multispectral Satellite Sensors: Case study on Aqua MODIS Band 6 - Archive ouverte HAL Access content directly
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Spectral Inpainting for the Restoration of Missing Data from Multispectral Satellite Sensors: Case study on Aqua MODIS Band 6

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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.
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Dates and versions

hal-00639083 , version 1 (08-11-2011)
hal-00639083 , version 2 (31-07-2012)

Identifiers

  • HAL Id : hal-00639083 , version 2

Cite

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