Comparison of optimized object-based RF-DT algorithm and SegNet algorithm for classifying Karst wetland vegetation communities using ultra-high spatial resolution UAV data

Comparison of optimized object-based RF-DT algorithm and SegNet algorithm for classifying Karst wetland vegetation communities using ultra-high spatial resolution UAV data

Karst wetlands have the characteristics of small scale and poor stability. At present, the wetland is being severely damaged and its area is seriously degraded, and the accurate identification of vegetation communities is very important for the rapid assessment and management of karst wetland. In th...

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Bibliographic Details
Main Authors: Bolin Fu, Man Liu, Hongchang He, Feiwu Lan, Xu He, Lilong Liu, Liangke Huang, Donglin Fan, Min Zhao, Zhenglei Jia
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
Karst wetland
UAV image
RF-DT algorithm
SegNet algorithm
Object-based method
Vegetation communities’ classification
Online Access:http://www.sciencedirect.com/science/article/pii/S0303243421002609

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http://www.sciencedirect.com/science/article/pii/S0303243421002609

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