Forestry Canopy Image Segmentation Based on Improved Tuna Swarm Optimization

Forestry Canopy Image Segmentation Based on Improved Tuna Swarm Optimization

Forests play a vital role in increasing carbon sequestration in the biosphere. In recent years, segmenting forest canopy images in order to obtain various plant population parameters has become an essential means to assess the ecosystem. The objective of forest canopy image segmentation is to separa...

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Bibliographic Details
Main Authors:	Jingyu Wang, Liangkuan Zhu, Bowen Wu, Arystan Ryspayev
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Forests
Subjects:	forestry canopy image segmentation symmetric cross-entropy tuna swarm optimization meta-heuristic algorithm
Online Access:	https://www.mdpi.com/1999-4907/13/11/1746

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