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Höser, Thorsten and Bachofer, Felix and Künzer, Claudia (2020) An Introduction to Deep Learning with CNNs Applied on Earth Observation Data. ESA Phi-Week 2020, 2020-09-28 - 2020-10-02, Frascati, Italien.
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Abstract
Since 2012, Deep Learning with Convolutional Neural Networks (CNNs) is the state of the art approach for image recognition (IR), segmentation (IS) and object detection (OD). CNNs have mainly been developed in Computer Vision (CV). Here we introduce the evolution of CNNs in CV and its transition to Earth Observation (EO) applications, by reviewing CV and EO publications from 2012 to late 2019.
| Item URL in elib: | https://elib.dlr.de/136742/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Poster) | ||||||||||||||||
| Title: | An Introduction to Deep Learning with CNNs Applied on Earth Observation Data | ||||||||||||||||
| Authors: |
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| Date: | 28 September 2020 | ||||||||||||||||
| Refereed publication: | No | ||||||||||||||||
| Open Access: | Yes | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| Page Range: | p. 1 | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | AI, artificial intelligence, deep learning, machine learning, earth observation, remote sensing, CNN, convolutional neural network | ||||||||||||||||
| Event Title: | ESA Phi-Week 2020 | ||||||||||||||||
| Event Location: | Frascati, Italien | ||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||
| Event Start Date: | 28 September 2020 | ||||||||||||||||
| Event End Date: | 2 October 2020 | ||||||||||||||||
| Organizer: | European Space Agency | ||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||
| DLR - Research theme (Project): | R - Geoscientific remote sensing and GIS methods | ||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||
| Institutes and Institutions: | German Remote Sensing Data Center > Land Surface Dynamics | ||||||||||||||||
| Deposited By: | Höser, Thorsten | ||||||||||||||||
| Deposited On: | 09 Nov 2020 15:38 | ||||||||||||||||
| Last Modified: | 24 Apr 2024 20:39 |
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