November 28, 2025GIScience & Remote SensingOpen Access

LMSeg: an end-to-end geometric message-passing network on barycentric dualgraphs for large-scale landscape mesh segmentation

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LMSeg achieves significant advancements in landscape mesh segmentation across urban and rural environments by enhancing feature detection and aggregation.
The approach incorporates a unique GA+ module for improved handling of geometric variations, demonstrating 75.1% mIoU on the SUM dataset.
Built on the BBW dataset, the system focuses on accurate, scalable segmentation of complex mesh structures like dry-stone walls.
The findings suggest LMSeg can effectively support environmental monitoring and detailing underrepresented cultural landscapes.

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LMSeg demonstrates effective segmentation in 3D landscapes, suggesting potential in geospatial analysis and cultural heritage applications.

Huang et al. (2025) studied this question.

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LMSeg demonstrates effective segmentation in 3D landscapes, suggesting potential in geospatial analysis and cultural heritage applications.