PhD scholarship on machine learning for multispectral satellite images


André Ferrari


Université Côte d'Azur


I am currently a professor at the Laboratoire J.-L. Lagrange, a joint laboratory between Université Côte d’Azur, CNRS and Observatoire de la Côte d’Azur.

My current research activity is centered around statistical data processing, inverse problems and machine learning. I have a particular interest in applications to Astrophysics, such as radio interferometry, and hyperspectral imaging.

My recent interests include processing of streamed measurements with complex structures which can be encoded in a graph. An example of application is the detection of changes in a stream of images.


  • Statistical processing
  • Online processing
  • Applications to Astrophysics
  • Hyperspectral imaging

Recent Posts

PhD scholarship

Line by line Deep Learning algorithm for detection of artifacts in uncalibrated multispectral satellite images The aim of artifact …

Sigmoid fit

Inspired by the nice tweet of Constance Crozier, here is the julia code to illustrate the fit of a sigmoid as a function of the number …

Master position

Online novelty detection in multivariate graph signals. Application to hyperspectral imaging Detecting changes in network-structured …


Quickly discover relevant content by filtering publications.

Online Graph-Based Change Point Detection in Multiband Image Sequences

Online change-point detection with kernels

Kernel based online change point detection

Recent projects



Machine learning methods for the very large arrays in radio astronomy.


Methodological Aspects of Hyperspectral Imaging Workshop


Distributed processing for very large arrays in radioastronomy


Processing of polychromatic interferometric data for Astrophysics

SSP 2011

Statistical Signal Processing Workshop


High dynamics and planet detection workshops


the historical 2001 matis webpage