Laser & Optoelectronics Progress, Volume. 61, Issue 24, 2428004(2024)
Land Cover Classification of UAV Visible Remote Sensing Based on Joint Distribution of Color-Spatial Feature
[3] Liu S, Zhu H. Object-oriented land-use classification based on ultra-high-resolution images taken by unmanned aerial vehicle[J]. Transactions of the Chinese Society of Agricultural Engineering, 36, 87-94(2020).
[4] Li G Q, Bai Y Q, Yang X et al. Automatic deep learning land-cover classification methods for high-resolution remotely sensed images[J]. Journal of Geo-Information Science, 23, 1690-1704(2021).
[5] Chen X C, Zhao J S, Chen L S et al. Land cover classification and change analysis of the Hongta District in Yuxi City based on Landsat images[J]. Forest Engineering, 35, 1-8(2019).
[8] Zhang Z B, Zhao X N, Jiang H C et al. Precise classification of land use in Weibei Dryland using UAV images and deep learning[J]. Transactions of the Chinese Society of Agricultural Engineering, 38, 199-209(2022).
[12] Zhang B, Liu Y Y, Wang L Y. Land use and cover classification based on multifeature soft probability cascading[J]. Resources Science, 39, 557-565(2017).
[19] Vishnu B V, Srinivas C. Metaheuristic algorithms based crop classification[C], 1140-1144(2018).
[28] Gradshteĭn I S, Ryzhik I M, Jeffrey A et al[M]. Table of integrals, series and products(2007).
Get Citation
Copy Citation Text
Yushuang Zeng, Shaohua Zeng, Li Yuan, Ying Long. Land Cover Classification of UAV Visible Remote Sensing Based on Joint Distribution of Color-Spatial Feature[J]. Laser & Optoelectronics Progress, 2024, 61(24): 2428004
Category: Remote Sensing and Sensors
Received: Jan. 12, 2024
Accepted: Apr. 26, 2024
Published Online: Dec. 17, 2024
The Author Email:
CSTR:32186.14.LOP240511