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Deeply supervised network for airborne LiDAR tree classification incorporating dual attention mechanisms
GIScience & Remote Sensing ( IF 6.7 ) Pub Date : 2024-01-18 , DOI: 10.1080/15481603.2024.2303866 Zhenyu Zhang 1 , Jian Wang 1, 2 , Yunze Wu 3 , Youlong Zhao 1 , Binjie Wu 4
GIScience & Remote Sensing ( IF 6.7 ) Pub Date : 2024-01-18 , DOI: 10.1080/15481603.2024.2303866 Zhenyu Zhang 1 , Jian Wang 1, 2 , Yunze Wu 3 , Youlong Zhao 1 , Binjie Wu 4
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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...
中文翻译：
结合双重注意机制的机载激光雷达树分类深度监督网络
准确识别树种对于数字林业至关重要。为了促进这一领域的工作，已经提出了几种基于机载激光雷达的分类框架，并且它们已经实现了......
更新日期：2024-01-19
中文翻译：
结合双重注意机制的机载激光雷达树分类深度监督网络
准确识别树种对于数字林业至关重要。为了促进这一领域的工作，已经提出了几种基于机载激光雷达的分类框架，并且它们已经实现了......
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