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Object Detection and Classification in Digital Surface Models of the Lausitz Region in Germany

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dc.contributor.authorKalloch, Benjamin
dc.contributor.authorTontchev, Toni
dc.contributor.authorHlawitschka, Mario
dc.date.accessioned2021-12-14T10:57:36Z
dc.date.available2021-12-14T10:57:36Z
dc.date.issued2021
dc.identifier.doi10.18420/informatik2021-060
dc.identifier.isbn978-3-88579-708-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37727
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-314
dc.subjectDigital Surface Models
dc.subjectClassification
dc.subjectObject Recognition
dc.subjectImage Processing
dc.titleObject Detection and Classification in Digital Surface Models of the Lausitz Region in Germanyen
gi.citation.endPage721
gi.citation.startPage719
gi.conference.date27. September - 1. Oktober 2021
gi.conference.locationBerlin
gi.conference.sessiontitleWorkshop: Workshop on Systems to Support Renaturation Projects (SyRePro 2021)

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P314 - INFORMATIK 2021 - Computer Science & Sustainability