TRAINING OF NEURAL NETWORKS TO DECIPHER THE ROAD NETWORK ACCORDING TO SPACE IMAGERY RECEIVED BY THE...
TRAINING OF NEURAL NETWORKS TO DECIPHER THE ROAD NETWORK ACCORDING TO SPACE IMAGERY RECEIVED BY THE ”RESURS-P
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Publisher
Gottingen: Copernicus GmbH
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Language
English
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Gottingen: Copernicus GmbH
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Contents
Our team has developed a neural network for road recognition on our digital twin, aimed at enhancing transportation-related applications. The neural network is trained on large datasets of road images and utilizes various deep learning architectures and techniques to improve its accuracy and reliability. The embedded neural network can recognize di...
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Full title
TRAINING OF NEURAL NETWORKS TO DECIPHER THE ROAD NETWORK ACCORDING TO SPACE IMAGERY RECEIVED BY THE ”RESURS-P
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TN_cdi_doaj_primary_oai_doaj_org_article_ac984961a6764b3cb32ac944fc5b00f2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ac984961a6764b3cb32ac944fc5b00f2
Other Identifiers
ISSN
2194-9034,1682-1750
E-ISSN
2194-9034
DOI
10.5194/isprs-archives-XLVIII-2-W3-2023-109-2023
