3D LiDAR transformer for city-scale vegetation segmentation and biomass estimation

Asim Khan, Warda Asim, Muhammad Ibrahim, Anwaar Ulhaq

Research output: Book chapter/Published conference paperConference paperpeer-review

Abstract

3D LiDAR has transformed various urban infrastructure management practices, including urban vegetation detection and monitoring. The accessibility and convenience of use of LiDAR observations in ecological investigations has substantially improved because of advancements in LiDAR hardware systems and data processing techniques. In this paper, we introduce a slot attention-based network for semantic segmentation and biomass estimation of vegetation. We named it the 3D semantic vegetation transformer (3DSVT). Our proposed method first extracts point features by exploiting RandLA-Net, which are then passed to slot attention to extract object central features for semantic segmentation. Finally, vegetation biomass is computed based on the resultant semantic segmentation. We compare our proposed approach to the state-of-the-art 3D point cloud semantic segmentation methods on SensatUrban and semantic3D datasets. The experiments show that our proposed method is giving promising results and can thus be used to analyse and compute the vegetation biomass of 3D point clouds at a large scale.

Original languageEnglish
Title of host publication2022 International Conference on Digital Image Computing
Subtitle of host publicationTechniques and Applications, DICTA 2022
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages7
ISBN (Electronic)9781665456425
ISBN (Print)9781665456432 (Print on demand)
DOIs
Publication statusPublished - 2022
EventInternational Conference on Digital Image Computing: Techniques and Applications (DICTA 2022) - Rydges World Square, Sydney, Australia
Duration: 30 Nov 202202 Dec 2022
http://dicta2022.dictaconference.org/ (Conference website)
http://dicta2022.dictaconference.org/full_program.html#oral4 (Program)
https://ieeexplore.ieee.org/xpl/conhome/10034558/proceeding (Conference proceedings)
http://dicta2022.dictaconference.org/DICTA%202022%20CFP.pdf (Call for papers)

Publication series

Name2022 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2022

Conference

ConferenceInternational Conference on Digital Image Computing
Country/TerritoryAustralia
CitySydney
Period30/11/2202/12/22
OtherThe International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS).
Internet address

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