Recently, Dr. Andrea Marinoni of the University of Pavia, Italy, gave a guest lecture on the 142th Earth Observation and Digital Earth Academic Forum, entitled "Introduction to Nonlinear Hyperspectral Unmixing and Pattern Recognition in Earth Observation Data". The forum was hosted by Gao Lianru, a researcher at the Digital Earth Key Laboratory.
The report mainly expounds the efficient and high-precision understanding and interpretation methods of Earth observation data from a new perspective, and introduces typical models and algorithms by taking large-scale hyperspectral data mixed pixels and classification as examples.
The report firstly describes the sparseness and nonlinearity in the Earth observation data from the perspective of remote sensing big data, and introduces a framework for efficient Earth observation and data processing. Then it introduces its team in the nonlinear unmixing. The latest research results with classification.
In terms of nonlinear unmixing, he introduces a more complete nonlinear spectral hybrid model for complex geometries and corresponding abundance inversion algorithms. In the classification of nonlinear remote sensing images, a mutual information is introduced. A method of classification for metrics.
Finally, the report emphasizes the importance of nonlinear remote sensing data processing and hypergeometric analysis methods, and encourages everyone to devote more energy to the field.
It is reported that Dr. Andrea is currently conducting postdoctoral research at the University of Pavia, Italy, dedicated to the application of nonlinear signal processing methods in hyperspectral mixed pixel decomposition, and applying big data mining techniques to human activities and natural environments. Dr. Andrea went to UCLA to visit scholars in 2009 and received a two-year “DoteRicercaApplicata†award in 2011. In 2015 and 2016, he was a visiting scholar at Ben-Gurion University, Sun Yat-Sen University, and Shanghai Jiaotong University. He has been invited to make oral presentations at international conferences and is now a senior member of IEEE.
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