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Saliency-guided instance segmentation of pole-like objects in dense ground-based point clouds

Journal article describing a saliency-guided approach to instance segmentation targeting pole-like objects in dense ground-based point clouds, published by Elsevier BV. The supplied source fields include only the article title, publisher, content type, and publication date.

Categories: technology

Generated scores

Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.

Confidence
5/10
Geographic reach
1/10
Global importance
2/10
Impact magnitude
2/10
Positivity
6/10
Urgency
1/10

Why it matters

Presents a technical method for detecting and segmenting pole-like objects in ground-based 3D point-cloud data.

Sources

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