A Weak Sample Optimisation Method for Building Classification in a Semi-Supervised Deep Learning Framework

A Weak Sample Optimisation Method for Building Classification in a Semi-Supervised Deep Learning Framework

Deep learning has gained widespread interest in the task of building semantic segmentation modelling using remote sensing images; however, neural network models require a large number of training samples to achieve better classification performance, and the models are more sensitive to error patches...

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Bibliographic Details
Main Authors: Yanjun Wang, Yunhao Lin, Huiqing Huang, Shuhan Wang, Shicheng Wen, Hengfan Cai
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
weak sample
semi-supervised classification
high-resolution remote sensing imagery
buildings
deep learning
Online Access:https://www.mdpi.com/2072-4292/15/18/4432

Internet

https://www.mdpi.com/2072-4292/15/18/4432

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