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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Bibliografski detalji

Glavni autori:	Tariq Lasloum, Haikel Alhichri, Yakoub Bazi, Naif Alajlan
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-09-01
Serija:	Remote Sensing
Teme:	semi-supervised scene classification domain adaptation convolutional neural networks deep learning remote sensing EfficientNet-B3
Online pristup:	https://www.mdpi.com/2072-4292/13/19/3861
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