Segmentation Based Classification of 3D Urban Point Clouds: A Super-Voxel Based Approach with Evaluation - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Remote Sensing Année : 2013

Segmentation Based Classification of 3D Urban Point Clouds: A Super-Voxel Based Approach with Evaluation

Ahmad Aijazi
  • Fonction : Auteur
Paul Checchin
Laurent Trassoudaine

Résumé

Segmentation and classification of urban range data into different object classes have several challenges due to certain properties of the data, such as density variation, inconsistencies due to missing data and the large data size that require heavy computation and large memory. A method to classify urban scenes based on a super-voxel segmentation of sparse 3D data obtained from LiDAR sensors is presented. The 3D point cloud is first segmented into voxels, which are then characterized by several attributes transforming them into super-voxels. These are joined together by using a link-chain method rather than the usual region growing algorithm to create objects. These objects are then classified using geometrical models and local descriptors. In order to evaluate the results, a new metric that combines both segmentation and classification results simultaneously is presented. The effects of voxel size and incorporation of RGB color and laser reflectance intensity on the classification results are also discussed. The method is evaluated on standard data sets using different metrics to demonstrate its efficacy.
Fichier principal
Vignette du fichier
remotesensing-05-01624-v2.pdf (3.22 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01655574 , version 1 (28-02-2019)

Identifiants

Citer

Ahmad Aijazi, Paul Checchin, Laurent Trassoudaine. Segmentation Based Classification of 3D Urban Point Clouds: A Super-Voxel Based Approach with Evaluation. Remote Sensing, 2013, 5 (4), pp.1624 - 1650. ⟨10.3390/rs5041624⟩. ⟨hal-01655574⟩
86 Consultations
98 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More