Potential of Convolutional Neural Networks for earthquake‐triggered mass movement detection using optical and SAR data

Omid Ghorbanzadeh, Thomas Blaschke, Sansar Raj Meena

Research output: Contribution to conferencePosterAcademic

Abstract

While Convolutional Neural Networks (CNNs) have reached good accuracies for object recognition in aerial images, only a few studies exist that use deep-learning methods and CNNs for landslide detection. The impact of using different input training data on landslide detection by the CNNs is unclear.
Original languageEnglish
Number of pages1
DOIs
Publication statusPublished - 17 May 2019
Externally publishedYes
EventESA Living Planet Symposium 2019 - Milano Congressi, Milan, Italy
Duration: 13 May 201917 May 2019
https://lps19.esa.int/NikalWebsitePortal/living-planet-symposium-2019/lps19

Conference

ConferenceESA Living Planet Symposium 2019
CountryItaly
CityMilan
Period13/05/1917/05/19
Internet address

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