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  7. The Application of Neural Radiance Fields (NeRF) in Generating Digital Surface Models from UAV Imagery
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The Application of Neural Radiance Fields (NeRF) in Generating Digital Surface Models from UAV Imagery

Journal
International Geoscience and Remote Sensing Symposium (IGARSS)
Date Issued
September 5, 2024
Author(s)
Abate, Dante  
Themistocleous, Kyriacos  
Hadjimitsis, Diofantos G.  
DOI
10.1109/IGARSS53475.2024.10641392
Abstract
Neural Radiance Fields (NeRFs) is emerging as an innovative approach for generating in the reality-based 3D modelling techniques by employing an artificial neural network that optimizes a volumetric scene function based on a collection of input views [1], [2], [3]. This approach offers unprecedented prospects for multiscale 3D modelling and analysis.This study delves into the application of NeRF technology for processing aerial-born imagery [4] to evaluate its effectiveness for the creation of Digital Surface Models (DSM) compared with traditional photogrammetric techniques.
Funding(s)
EXCELSIOR: ERATOSTHENES Centre of Excellence for Earth Surveillance and Space-Based Monitoring of the Environment  
Subjects

NeRF

Photogrammetry

Digital Surface Model...

UAV

File(s)
Thumbnail Image
Name

The_Application_of_Neural_Radiance_Fields_NeRF_in_Generating_Digital_Surface_Models_from_UAV_Imagery.pdf

Size

1.43 MB

Format

Adobe PDF

Checksum (MD5)

e325f4d26e9229a178b6627108255c7f

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