CEDAnet: Individual Tree Segmentation in Dense Orchard via Context Enhancement and Density Prior

CEDAnet: Individual Tree Segmentation in Dense Orchard via Context Enhancement and Density Prior

Individual tree segmentation (ITS) is a pivotal technique in orchard research, estimating tree counts and delineating crown contours. This method provides foundational data for assessing orchard health, nutritional composition, and predicting yield. Unmanned aerial vehicles (UAVs) have become an ess...

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Bibliographic Details
Main Authors:	Fangjie Zhu, Zhenhao Chen, Haoyang Li, Qian Shi, Xiaoping Liu
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Series:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:	Benchmark dataset deep learning (DL) individual tree segmentation (ITS) instance segmentation unmanned aerial vehicle (UAV)
Online Access:	https://ieeexplore.ieee.org/document/10475902/

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