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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.
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https://hal-imt.archives-ouvertes.fr/hal-00639083
Contributor : Marouan Bouali Connect in order to contact the contributor
Submitted on : Tuesday, July 31, 2012 - 4:41:56 AM
Last modification on : Friday, October 16, 2020 - 9:56:41 AM
Long-term archiving on: : Thursday, November 1, 2012 - 2:25:08 AM

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  • HAL Id : hal-00639083, version 2

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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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