Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images

Paper

Thiruchittampalam, S., Banerjee, B. P., Singh, S. K., Glenn, N. F. and Raval, S.. 2023. "Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images." IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. United States. IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/IGARSS52108.2023.10283351
Paper/Presentation Title

Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images

Presentation TypePaper
AuthorsThiruchittampalam, S., Banerjee, B. P., Singh, S. K., Glenn, N. F. and Raval, S.
Journal or Proceedings TitleProceedings of the 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023)
Journal Citationpp. 2450-2453
Number of Pages4
Year2023
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
ISSN2153-7003
ISBN9798350320107
Digital Object Identifier (DOI)https://doi.org/10.1109/IGARSS52108.2023.10283351
Web Address (URL) of Paperhttps://ieeexplore.ieee.org/document/10283351
Web Address (URL) of Conference Proceedingshttps://ieeexplore.ieee.org/xpl/conhome/10281394/proceeding
Conference/EventIGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium
Event Details
IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium
Delivery
In person
Abstract

Mine dump stability depends on the correct placement of fundamental units – i.e., spoil piles, based on their geological and geotechnical characteristics. In-field characterization of individual piles is strenuous. To this end, image-based characterization of spoil piles using remote data obtained through unpiloted aerial system is a potential complementary solution. Several high-level image processing techniques such as object-based classification and feature extraction, inherently rely on effective segmentation. However, studies on segmentation algorithms for spoil pile delineation are lacking. This study provides insight on colour-based and morphology-based segmentation approaches to progress avenues for object-based analysis for spoil characterization in the mine environment.

KeywordsMean-shift segmentation; Simple linear iterative clustering; Voronoi-based segmentation; Mine dumps; Spoil piles
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
401905. Mining engineering
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Byline AffiliationsUniversity of New South Wales
University of Moratuwa, Sri Lanka
Agriculture Victoria
Boise State University, United States
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