Integrating Adversarial Generative Network with Variational Autoencoders towards Cross-Modal Alignment for Zero-Shot Remote Sensing Image Scene Classification

Remote sensing image scene classification takes image blocks as classification units and predicts their semantic descriptors. Because it is difficult to obtain enough labeled samples for all classes of remote sensing image scenes, zero-shot classification methods which can recognize image scenes tha...

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Vydané v:	Remote sensing (Basel, Switzerland) Ročník 14; číslo 18; s. 4533
Hlavní autori:	Ma, Suqiang, Liu, Chun, Li, Zheng, Yang, Wei
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2022
Predmet:	Alignment Classification cross-modal feature alignment data collection Deep learning Experiments Feature extraction generative adversarial network Generative adversarial networks Image classification Neural networks Normal distribution Reconstruction Remote sensing remote sensing image scene classification Semantics Sensory integration variational autoencoder zero-shot learning
ISSN:	2072-4292, 2072-4292
On-line prístup:	Získať plný text
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