Webinar: Support Vector Machines, Remote Sensing and Environmental Applications
Webinar: Support Vector Machines, Remote Sensing and Environmental Applications
Viernes 26 de agosto 18 hs.
Expositor: Dr. Rogério Galante Negri.
Viernes 26 de agosto 18 hs.
Título del Webinar: 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..
Link de acceso a para los estudiantes de doctorado: https://utn.zoom.us/j/8104577725
