SSDAN: Multi-Source Semi-Supervised Domain Adaptation Network for Remote Sensing Scene Classification

SSDAN: Multi-Source Semi-Supervised Domain Adaptation Network for Remote Sensing Scene Classification

We present a new method for multi-source semi-supervised domain adaptation in remote sensing scene classification. The method consists of a pre-trained convolutional neural network (CNN) model, namely EfficientNet-B3, for the extraction of highly discriminative features, followed by a classification...

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Bibliographic Details
Main Authors: Tariq Lasloum, Haikel Alhichri, Yakoub Bazi, Naif Alajlan
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
semi-supervised scene classification
domain adaptation
convolutional neural networks
deep learning
remote sensing
EfficientNet-B3
Online Access:https://www.mdpi.com/2072-4292/13/19/3861

Internet

https://www.mdpi.com/2072-4292/13/19/3861

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