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

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International Geoscience and Remote Sensing Symposium (IGARSS)
Date Issued
September 5, 2024
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DOI
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.
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Subjects

NeRF

Photogrammetry

Digital Surface Model...

UAV

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The_Application_of_Neural_Radiance_Fields_NeRF_in_Generating_Digital_Surface_Models_from_UAV_Imagery.pdf

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