Remote Sensing and Microscopy Image Processing

The main focus is on image and signal processing methods applied for remote sensing and microscopy imaging. While these two topics seem far away from each other, in reality there is a considerable overlap between the problems and techniques applied to these fields. The reason is that in both cases the ratio of the size of objects that we are observing and the distance from where images are taken is extremely small. Many of the invited lecturers (e.g. Josiane Zerubia, Peter Horvath, Xavier Descombes) were actively involved in the research of both domains, sometimes adopting the same methodology for both problems.
The confirmed invited lecturers will cover the following selected topics in this field:
- probabilistic graphical models
- CNNs and deep learning
- semantic segmentation
- object detection (e.g. single cell extraction, road network detection,...)
- biodiversity tracking
- radar remote sensing
- aspects of polarization
- shape models
- multimodal data fusion
- marked point process
- synthetic aperture radar (SAR)
- ship and ship wake detection
- single cell-based large-scale microscopy
- machine learning methods to identify various cellular phenotypes
- super-resolution microscopy
- molecule colocalization
- motion and shape change analysis of biological objects

Course leader

Zoltan Kato, SZTE Xavier Descombes, INRIA László Czúni, PE Csaba Benedek, SZTAKI

Target group

Graduate and PhD students interested in image processing.

Course aim

The Summer School on Remote Sensing and Microscopy Image Processing aims to provide a stimulating opportunity for graduate and PhD students interested in image processing. SSRM will be held between 29 July and 2 August 2024, in Veszprém, Hungary, hosted by the University of Pannonia. Participants will benefit from direct interaction with internationally renowned researchers in various fields of image processing and computer vision applied to remote sensing and microscopy as well as from interacting with fellow participants from all over the world. Students will also have the possibility to present their research. In addition to morning lectures, students work on an assignment in international teams, which are then evaluated by a committee of lecturers on the last day. The best works are awarded symbolic prizes. Students will receive a certificate of attending the Summer School and passing the exam, which is recognized as a special PhD course by several universities.