Deep Learning Performance Comparison Using Multispectral Images and Vegetation Index for Farmland Classification-Reference-Cited by-同舟云学术

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Deep Learning Performance Comparison Using Multispectral Images and Vegetation Index for Farmland Classification

Published:2023-06-27 Issue:5 Volume:24 Page:1533-1545
ISSN:2093-274X
Container-title:International Journal of Aeronautical and Space Sciences
language:en
Short-container-title:Int. J. Aeronaut. Space Sci.

Author:

Kim Semo,Bae Seoung-Hun,Kim Min-Kwan,Kang Lae-Hyong^ORCID

Funder

Korea Technology and Information Promotion Agency for SMEs

Ministry of Land, Infrastructure and Transport

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Aerospace Engineering,General Materials Science,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42405-023-00617-0.pdf

Reference31 articles.

1. Deng L, Mao Z, Li X, Hu Z, Duan F, Yan Y (2018) UAV-based multi-spectral remote sensing for precision agriculture: a comparison between different cameras. ISPRS J Photogramm Remote Sens 146:124–136. https://doi.org/10.1016/j.isprsjprs.2018.09.008

2. Maes WH, Steppe K (2019) Perspectives for remote sensing with unmanned aerial vehicles in precision agriculture. Trends Plant Sci 24:152–164. https://doi.org/10.1016/j.tplants.2018.11.007

3. Lee D, Kim J, Lee D (2019) Robust concrete crack detection using deep learning-based semantic segmentation. Int J Aeronaut Space Sci 20:287–299. https://doi.org/10.1007/s42405-018-0120-5

4. Rewehel EM, Li J, Keshk HM (2022) Retracted article: sentinel-2 cloud mask classification using deep learning method. Int J Aeronaut Space Sci 23:622–635. https://doi.org/10.1007/s42405-022-00462-7

5. Antle JM, Basso B, Conant RT, Godfray HCJ, Jones JW, Herrero M et al (2017) Towards a new generation of agricultural system data, models and knowledge products: design and improvement. Agric Syst 155:255–268. https://doi.org/10.1016/j.agsy.2016.10.002

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