UAV-Based Detection of Deciduous Tree Species Using Structural and Spectral Characteristics-Reference-Cited by-同舟云学术

UAV-Based Detection of Deciduous Tree Species Using Structural and Spectral Characteristics

Published:2024-07-09 Issue:10 Volume:52 Page:2207-2219
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Naseri Mohammad Hassan^ORCID,Shataee Jouibary Shaban

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12524-024-01944-9.pdf

Reference37 articles.

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2. Abolhasani, H., & Mohammadzadeh, A. (2020). Detection of some Tree species from Terrestrial laser scanner point Cloud Data using support-vector machine and Nearest Neighborhood algorithms. ISSGE, 9(3), 29–40. http://jgst.issge.ir/article-1-824-en.html.

3. Akbari, H., & Kalbi, S. (2019). Tree species diversity monitoring using GeoEye satellite image in Gardeshi Forest District. JOURNAL OF WOOD AND FOREST SCIENCE AND TECHNOLOGY, 26(2 #T00848), 51–62. https://doi.org/10.22069/jwfst.2019.16391.1801.

4. Barazmand, S., Sossani, J., Naghavi, H., & Sadeghyan, S. (2019). Discriminating between Brant`s oak (Quercus brantii Lindl.) And gall oak (Q. Infectoria Oliv.) Species using the UAV images (Case study: Kakasharaf Forest, Khorramabad, Iran). Iranian Journal of Forest and Poplar Research, 27(3 (77)), 245–257. https://doi.org/10.22092/ijfpr.2019.120630.

5. Briechle, S., Krzystek, P., & Vosselman, G. (2020). Classification of tree species and standing dead trees by fusing UAV-based lidar data and multispectral imagery in the 3D deep neural network PointNet++. ISPRS Annals of the Photogrammetry Remote Sensing and Spatial Information Sciences, 2, 203–210.