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Time-frequency analysis of near-field optical data for extracting local attributes

Abstract : Near-field microscopy has been developed to characterize optical properties of materials below the diffraction limit. It consists of scanning a probe, which can be of atomic dimensions, a few nanometers above a material surface, and detecting electromagnetic interaction. The resulting near-field optical images are conventionally analyzed by means of Fourier-based methods although these data are nonstationary. This observation suggests that time frequency analysis is potentially a powerful tool for extracting attributes such as local resolution of near-field optical microscopes. We use bilinear time-frequency distributions and their optimized version by the AOK procedure to analyze experimental near-field optical and magneto-optical raw images. We show that this approach allows local characterization of optical resolution and separation of relevant optical information from artifacts caused by the scanning probe recording process.
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Submitted on : Friday, September 13, 2019 - 12:50:36 PM
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Dominique Barchiesi, Cédric Richard. Time-frequency analysis of near-field optical data for extracting local attributes. 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings, May 2001, Salt Lake City, United States. pp.3565-3568, ⟨10.1109/ICASSP.2001.940612⟩. ⟨hal-02286039⟩



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