Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images
Paper
Paper/Presentation Title | Evaluation of Segmentation Methods for Spoil Pile Delineation Using UAV Images |
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Presentation Type | Paper |
Authors | Thiruchittampalam, S., Banerjee, B. P., Singh, S. K., Glenn, N. F. and Raval, S. |
Journal or Proceedings Title | Proceedings of the 2023 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023) |
Journal Citation | pp. 2450-2453 |
Number of Pages | 4 |
Year | 2023 |
Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
Place of Publication | United States |
ISSN | 2153-7003 |
ISBN | 9798350320107 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/IGARSS52108.2023.10283351 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/10283351 |
Web Address (URL) of Conference Proceedings | https://ieeexplore.ieee.org/xpl/conhome/10281394/proceeding |
Conference/Event | IGARSS 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. |
Keywords | Mean-shift segmentation; Simple linear iterative clustering; Voronoi-based segmentation; Mine dumps; Spoil piles |
ANZSRC Field of Research 2020 | 401304. Photogrammetry and remote sensing |
401905. Mining engineering | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of New South Wales |
University of Moratuwa, Sri Lanka | |
Agriculture Victoria | |
Boise State University, United States |
https://research.usq.edu.au/item/z307w/evaluation-of-segmentation-methods-for-spoil-pile-delineation-using-uav-images
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