Evaluation of Decision Fusions for Classifying Karst Wetland Vegetation Using One-Class and Multi-Class CNN Models with High-Resolution UAV Images

Evaluation of Decision Fusions for Classifying Karst Wetland Vegetation Using One-Class and Multi-Class CNN Models with High-Resolution UAV Images

Combining deep learning and UAV images to map wetland vegetation distribution has received increasing attention from researchers. However, it is difficult for one multi-classification convolutional neural network (CNN) model to meet the accuracy requirements for the overall classification of multi-o...

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Bibliographic Details
Main Authors: Yuyang Li, Tengfang Deng, Bolin Fu, Zhinan Lao, Wenlan Yang, Hongchang He, Donglin Fan, Wen He, Yuefeng Yao
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
karst wetlands
vegetation classification
one- and multi-class deep learning
model fusion
decision fusion
UAV images
Online Access:https://www.mdpi.com/2072-4292/14/22/5869

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