IADF Summer School: Computer Vision for Earth Observation

Applications are Open

A great opportunity is available for anyone wanting to expand their skills in computer vision for remote sensing. Computer Vision for Earth Observation (CV4EO) is an online Summer School, organised by the IEEE (Institute of Electrical and Electronics Engineers) GRSS (Geoscience and Remote Sensing Society) and Image Analysis and Data Fusion Technical Committee, and will be the first of its kind.

The GRSS’s IADF serves as a global and multi-disciplinary network for geospatial image analysis. They aim to connect people and resources, educate and promote theoretical advances and best practices in image analysis and data fusion. This includes machine learning, deep learning, image and signal processing, and big data. The summer school will focus on applying computer vision (CV) methods to address challenges in remote sensing.

An exciting line-up of speakers will contain a series of lectures on the existing methods utilised for analysing satellite images, along with the challenges encountered, and cover topics including Image FusionExplainable AI for Earth Sciences, Big Geo-Data, Multi-source Image Analysis, Deep Learning for Spectral Unmixing, SAR Image Analysis, and Learning with Zero/Few Labels. The school will include lectures, theoretical sessions and hands-on practical sessions.

DETAILS

The summer school is open to everybody who has a strong motivation and interest in the topics. Participants will not be charged a registration fee. The number of participants is limited to 75, but the course will be broadcast to everyone who applies. Those who attend the course will receive a certificate.

Application deadline: 23 September
Summer School dates: 3-7 October
Apply here: https://iadf-school.org/

Speakers include:
Avik Bhattacharya
Melba Crawford
Saurabh Prasad
Behnood Rasti
Sylvain Lobry
Lichao Mou
Caleb Robinson
Alejandro Frery

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