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Annonce

29 octobre 2017

PhD Thesis Proposal: Texture Features for Hyperspectral Image Analysis


Catégorie : Doctorant


The University of Poitiers and the ICONES team (XLIM) are looking for a suitable candidate for a 3-year PhD project in texture-based Hyperspectral Image Analysis.

Contact: noel.richard@univ-poitiers.fr

 

The University of Poitiers and the ICONES team (XLIM) are looking for a suitable candidate for a 3-year PhD project in texture-based Hyperspectral Image Analysis.

Thanks to recent advances in hyperspectral imaging sensors, images are acquired in high levels of spectral and spatial resolution. Combined, these resolutions allow to reach the optical properties (visible range) or physical properties (non-visible range), explaining aspects of the observed scene. Due to this direct link to the physical content of scene/ objects, the use of hyperspectral imaging continues to increase in many fields, e.g., remote sensing (aerial and satellite images), industry (quality control by vision), medical (diagnosis help) and cultural heritage (non-invasive methodology for preservation/ valorisation). However, there exists no tools allowing to assess the spectral content of the acquired images under metrological constraints.

The PhD work will produce foundations for spectral metrology of non-uniform/textured surfaces. Applications of the constructed foundations will be oriented toward the cultural heritage domain. Nevertheless, validations of usefulness will also be carried out for satellite and aerial images in order to compare obtained results to existing bibliography and international contests in remote sensing.

The PhD project takes place within the ANR-DigiPi program (Digital Pigment: From Colour in Cultural Heritage to Industrial Requirements in Spectral Metrology) led by XLIM laboratory and the National Museum of Natural History (MNHN) of Paris. MNHN is responsible for the construction of spectral references and in the production of optical models relative to these references. This project will be also developed in collaboration with the MuvApp project led by the Colour and Visual Computing Laboratory (Colorlab) from NTNU (Gjøvik, Norway). The MuvApp project itself is dedicated to material appearance using goniometric acquisition and is interested to embed the textured/ non-uniformity aspects.

The Phd position will start between December 2017 and January 2018

Key-words:

Hyperspectral imaging, remote sensing, texture, image processing

Contact

noel.richard@univ-poitiers.fr

 

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