Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Karlsruhe, Karlsruher Institut für Technologie (KIT), Dissertation, 2022

Keyword: Maschinelles Sehen
Kamera

Event: Veröffentlichung

(where): Karlsruhe

(who): KIT Scientific Publishing

(when): 2022

Creator: Ruf, Boitumelo

Contributor: Hinz, Stefan
Nex, Francesco

DOI: 10.5445/KSP/1000149436

URN: urn:nbn:de:101:1-2022120802400375830933

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:34 AM CEST

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Ruf, Boitumelo
Hinz, Stefan
Nex, Francesco
KIT Scientific Publishing

Time of origin

2022

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Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces

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Other Objects (12)

Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces

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RANDOM FOREST AND OBJECTED-BASED CLASSIFICATION FOR FOREST PEST EXTRACTION FROM UAV AERIAL IMAGERY

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Instance segmentation of standing dead trees in dense forest from aerial imagery using deep learning

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