Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response

Deep Learning and Phenology Enhance Large-Scale Tree Species Classification in Aerial Imagery during a Biosecurity Response

The ability of deep convolutional neural networks (deep learning) to learn complex visual characteristics offers a new method to classify tree species using lower-cost data such as regional aerial RGB imagery. In this study, we use 10 cm resolution imagery and 4600 trees to develop a deep learning m...

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Chi tiết về thư mục
Những tác giả chính:	Grant D. Pearse, Michael S. Watt, Julia Soewarto, Alan Y. S. Tan
Định dạng:	Bài viết
Ngôn ngữ:	English
Được phát hành:	MDPI AG 2021-05-01
Loạt:	Remote Sensing
Những chủ đề:	tree species classification deep learning convolutional networks biosecurity forest pathology
Truy cập trực tuyến:	https://www.mdpi.com/2072-4292/13/9/1789

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