IEEE Geoscience and Remote Sensing Society (GRSS), Bombay Chapter

Cordially invites you to

IEEE GRSS Distinguished Lecturer Program

Statistical Information Theory and Geometry for SAR Image Analysis

By
Prof. Alejandro C. Frery 
Laboratório de Computação Científica e Análise Numérica (LaCCAN)
Universidade Federal de Alagoas, Maceió, Brazil

 

Date: 5th February 2018 (Monday)
Time: 15:30 to 16:30
Venue: CSRE Seminar Hall (1st Floor CSRE, IITB)

 

Abstract:

Statistics has a prominent role in SAR – Synthetic Aperture Radar image processing and analysis. More often than not, these data cannot be described by the usual additive Gaussian noise model. Rather than that, a multiplicative signal-dependent model adequately models the observations. After summarizing the main distributions for both the univariate (intensity and amplitude) and multivariate (fully polarimetric) image formats, we present eight seemingly different problems, and how they can be formulated and solved in an unified manner from a statistical viewpoint using Information Theory and Information Geometry.

 

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IEEE GRSS Distinguished Lecture by Prof. Alejandro C. Frery

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