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L’IRIT étant localisé sur plusieurs sites, ses séminaires sont organisés et ont lieu soit à l’Université Toulouse 3 Paul Sabatier (UT3), l’Université Toulouse 1 Capitole (UT1), l’INP-ENSEEIHT ou l’Université Toulouse 2 Jean Jaurès (UT2J).


A theory of information perspective on hyperspectral images

Mihai IVANOVICI - Transilvania University of Brasov (Roumanie)

Vendredi 5 Juillet 2019, 15h20 - 16h00
UT3 Paul Sabatier, IRIT, Salle des Thèses
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We consider the hyperspectral image pixel values as power spectral density (PSD) functions. Assuming that the pixel values were generated by some unknown stationary random processes and deploying the Wiener-Khinchin theorem, we retrieve the basic information provided by such spectra by estimating several statistical moments and related parameters. We recover the autocorrelation function (ACF) of the corresponding unknown random process by computing the inverse Fourier transform of PSD and considering several aspects of the ACF. We show the usefulness of our approach in the analysis of the basic information provided by two widely-known hyperspectral images. Furthermore, we propose ranking the spectral signatures by imposing a lexicographic ordering of the autocorrelation function values. Such ranking can be deployed for the construction of nonlinear operators like morphological ones. We validate our approach on reference colors of a standard color set widely-used in colorimetry. We show the usefulness of our approach by computing morphological profiles for pixel classification using the Pavia University dataset.

Bio: Mihai Ivanovici holds a PhD in electronics engineering and telecommunications from Politehnica University of Bucharest, Romania. He is a full professor at Transilvania University of Brasov, Romania (UTBv), within the Department of Electronics and Computers. He is the head of Multispectral Imaging and Vision (MIV) Laboratory (, coordinator of the C13 Research Centre “Integrated Electronic Systems and Advanced Communications” within the R&D Institute of UTBv and vice-dean of research for the Faculty of Electrical Engineering and Computer Science within UTBv. He is a member of the IEEE Signal Processing, IEEE Geoscience and Remote Sensing and IEEE Photonics societies. His research interest and expertise are in the field of algorithms and electronic system design for signal and data acquisition, processing and analysis (incl. color, multispectral, hyperspectral images and data from particle detectors). Currently he is supervising one PhD student and mentors two post-doctoral students.