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结合双重关注机制的机载激光雷达树分类深度监督网络

IF 6 2区 地球科学 Q1 GEOGRAPHY, PHYSICAL
GIScience & Remote Sensing Pub Date : 2024-01-18 DOI:10.1080/15481603.2024.2303866
Zhenyu Zhang, Jian Wang, Yunze Wu, Youlong Zhao, Binjie Wu
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引用次数: 0

摘要

准确识别树种对数字林业至关重要。为了促进这一领域的工作，已经提出了几个基于机载激光雷达的分类框架，这些框架已经取得了...
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Deeply supervised network for airborne LiDAR tree classification incorporating dual attention mechanisms
Accurately identifying tree species is crucial in digital forestry. Several airborne LiDAR-based classification frameworks have been proposed to facilitate work in this area, and they have achieved...
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来源期刊
GIScience & Remote Sensing
GIScience & Remote Sensing 地学-遥感
CiteScore
11.20
自引率
9.00%
发文量
84
审稿时长
6 months
期刊介绍： GIScience & Remote Sensing publishes original, peer-reviewed articles associated with geographic information systems (GIS), remote sensing of the environment (including digital image processing), geocomputation, spatial data mining, and geographic environmental modelling. Papers reflecting both basic and applied research are published.
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