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Article Dans Une Revue Applied Sciences Année : 2019

Metasurface antennas embedded in small circular cavities for telemetry applications

Résumé

Multispectral remote sensing data may contain component images that are heavily corrupted by noise and the pre-filtering (denoising) procedure is often applied to enhance these component images. To do this, one can use reference images—component images having relatively high quality and that are similar to the image subject to pre-filtering. Here, we study the following problems: how to select component images that can be used as references (e.g., for the Sentinel multispectral remote sensing data) and how to perform the actual denoising. We demonstrate that component images of the same resolution as well as component images of a better resolution can be used as references. To provide high efficiency of denoising, reference images have to be transformed using linear or nonlinear transformations. This paper proposes a practical approach to doing this. Examples of denoising tests and real-life images demonstrate high efficiency of the proposed approach

Domaines

Electronique
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Dates et versions

hal-02181457 , version 1 (07-07-2020)

Identifiants

Citer

L. Bernard, M. Martinis, Sylvain Collardey, K. Mahdjoubi, R. Sauleau. Metasurface antennas embedded in small circular cavities for telemetry applications. Applied Sciences, 2019, 9 (12), pp.496. ⟨10.3390/app9122496⟩. ⟨hal-02181457⟩
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