Webminar: Support Vector Machines, Remote Sensing and Environmental Applications

Expositor: Dr. Rogério Galante Negri.

Rogério Galante Negri has his graduated degree in Mathematics (2006) at São Paulo State University (UNESP); M.Sc. (2009) and Ph.D. (2013) in Applied Computation at National Institute for Space Research (INPE). His main research interests include Machine Learning, Pattern Recognition, Image Processing and Remote Sensing. He is currently Professor at the Universidade Estadual Paulista Julio de Mesquita Filho, São José dos Campos, São Paulo, Brazil.

Sumario de la presentación:

Support Vector Machine (SVM) is a very successful Machine Learning method. Its solid mathematical formulation, simple algorithmic architecture and high generalization capability are a few of the attractive characteristics of this well-established method. Several studies and applications in Remote Sensing have employed the SVM method. This talk will discuss SVM from a Remote Sensing perspective and will present examples of SVM-based approaches for image classification, spatio-temporal change detection and anomaly identification..