Investigating Prior-Level Fusion Approaches for Enriched Semantic Segmentation of Urban LiDAR Point Clouds

Investigating Prior-Level Fusion Approaches for Enriched Semantic Segmentation of Urban LiDAR Point Clouds

Three-dimensional semantic segmentation is the foundation for automatically creating enriched Digital Twin Cities (DTCs) and their updates. For this task, prior-level fusion approaches show more promising results than other fusion levels. This article proposes a new approach by developing and benchm...

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Bibliographic Details
Main Authors: Zouhair Ballouch, Rafika Hajji, Abderrazzaq Kharroubi, Florent Poux, Roland Billen
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
prior-level fusion
enriched semantic segmentation
LiDAR point clouds
images
data fusion
prior knowledge
Online Access:https://www.mdpi.com/2072-4292/16/2/329

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