A Deep Learning approach for boulder detection –The key to understand planetary surfaces evolution and their crater statistics-based ages

Project description

Boulder mapping could help reveal how planetary surfaces evolved

Fields of science

• natural sciences › physical sciences › astronomy › planetary sciences › planetary geology
• natural sciences › computer and information sciences › artificial intelligence › computational intelligence
• engineering and technology › environmental engineering › remote sensing
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning

Programme(s)

• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2020 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2020
See other projects for this call

Funding Scheme

MSCA-IF-GF - Global Fellowships

Coordinator

UNIVERSITETET I OSLO

Address

Problemveien 5-7
0313 Oslo
Norway

Activity type

Higher or Secondary Education Establishments

EU contribution

€ 284 345,28

Partners (1)

BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY

United States

Address

Serra Mall 450
94305 2004 Stanford

Activity type

Higher or Secondary Education Establishments