The co-effect of image resolution and crown size on deep learning for individual tree detection and delineation

Zhenbang Haoa Zhangzhou Institute of Technology, Zhangzhou, People’s Republic of ChinaView further author information

Lili Linb College of Biological Science and Biotechnology, Minnan Normal University, Zhangzhou, People’s Republic of ChinaCorrespondence[email protected]
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Christopher J. Postc Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, USAView further author information

Elena A. Mikhailovac Department of Forestry and Environmental Conservation, Clemson University, Clemson, SC, USAView further author information

Kunyong Yud University Key Lab for Geomatics Technology and Optimized Resources Utilization in Fujian Province, Fuzhou, People’s Republic of ChinaView further author information

Huirong Fanga Zhangzhou Institute of Technology, Zhangzhou, People’s Republic of ChinaView further author information

Jian Liud University Key Lab for Geomatics Technology and Optimized Resources Utilization in Fujian Province, Fuzhou, People’s Republic of ChinaView further author information

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The co-effect of image resolution and crown size on deep learning for individual tree detection and delineation

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The co-effect of image resolution and crown size on deep learning for individual tree detection and delineation

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