Course

ENV-540: Image processing for Earth observation

Summary

This course covers optical remote sensing from satellites and airborne platforms. The different systems are presented. The students will acquire skills in image processing and machine/deep learning to extract end-products from the images such as land cover or risk maps.

Lectures

Instructor

Devis Tuia

I come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.

Official source

https://edu.epfl.ch/coursebook/en/image-processing-for-earth-observation-ENV-540

Moodle Page

http://go.epfl.ch/ENV-540

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Summary

Lectures

Instructor

Devis Tuia

Official source

https://edu.epfl.ch/coursebook/en/image-processing-for-earth-observation-ENV-540

Moodle Page

http://go.epfl.ch/ENV-540

About this result

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