Individual Tree Crown Delineation Based on Deep Learning for Arid Areas Using High-Resolution Satellite Imagery-Reference-Cited by-同舟云学术

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Individual Tree Crown Delineation Based on Deep Learning for Arid Areas Using High-Resolution Satellite Imagery

Published:2024-07-07 Issue: Volume:19 Page:5231-5234
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Shi Jinzhuang¹,Li Hui¹,Lin Yuanyuan²,Jing Linhai¹,Zhang Kongwen³

Affiliation:

1. International Research Center of Big Data for Sustainable Development Goals,Beijing,China,100094

2. China University of Geosciences,School of Earth Sciences and Resources,Beijing,China,100083

3. University of the Fraser Valley,School of Computing,Abbotsford,Canada,V2S 7M7

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641289.pdf?arnumber=10641289

Reference13 articles.

1. Analysis of forest ecological benefits;Yang;Modern Horticulture,2013

2. Forest ecotourism and forest protection;Liu;Heilongjiang Science,2020

3. Research on land use/land cover changes in Mu Us Desert;Huang,2000

4. Detecting Individual-Tree Crown Regions from Terrestrial Laser Scans with an Anchor-Free Deep Learning Model

5. Multi-Species Individual Tree Segmentation and Identification Based on Improved Mask R-CNN and UAV Imagery in Mixed Forests

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