Unleashing the Reasoning Capabilities of Vision Language Models for Effective Image-based Roadside Tree 3D Measurement

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Journal
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Published
2025-11-05
DOI
https://doi.org/10.5194/isprs-archives-xlviii-1-w5-2025-69-2025
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Unleashing the Reasoning Capabilities of Vision Language Models for Effective Image-based Roadside Tree 3D Measurement

Zhen Dong, Long Chen, Bisheng Yang
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
Remote Sensing and LiDAR Applications
article

Unleashing the Reasoning Capabilities of Vision Language Models for Effective Image-based Roadside Tree 3D Measurement

Zhen Dong, Long Chen, Bisheng Yang
article en

Abstract

No abstract available for this paper.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciencesVol. XLVIII-1/W5-2025
Wuhan University (CN), State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 70%
Remote Sensing and LiDAR Applications
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