Simple linear iterative clustering and ConvNeXt for mapping vectorize tree species-Reference-Cited by-同舟云学术

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Simple linear iterative clustering and ConvNeXt for mapping vectorize tree species

Published:2023-08-01 Issue:03 Volume:17 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Wang Ni¹,Pu Tao²,Chen Taisheng³

Affiliation:

1. Chuzhou University, School of Geographic Information and Tourism, Chuzhou, China

2. Anhui University of Science and Technology, School of Geomatics, Huainan, China

3. Suzhou University of Science and Technology, School of Geography Science and Geomatics Engineering, Suzhou, China

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference40 articles.

1. Using species abundance and phylogeny conjointly to approach vegetation classification: A case study on Macaronesia’s woody vegetation

2. Fusing multi-season UAS images with convolutional neural networks to map tree species in Amazonian forests

3. Automated feature-specific tree species identification from natural images using deep semi-supervised learning

4. Detection and classification of diseased pine trees with different levels of severity from UAV remote sensing images

5. Bark and leaf fusion systems to improve automatic tree species recognition

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. More appropriate DenseNetBL classifier for small sample tree species classification using UAV-based RGB imagery;Heliyon;2023-10

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