Open AccessAnomaly Detection of Disaster Areas from Satellite Images Using Convolutional Autoencoder and One-class SVM
Author(s) -
Kohki Fujita,
Shingo Mabu,
Takashi Kuremoto
Publication year - 2018
Publication title -
proceedings of international conference on artificial life and robotics
Language(s) - English
Resource type - Journals
eISSN - 2435-9157
pISSN - 2188-7829
DOI - 10.5954/icarob.2018.gs4-4
Subject(s) - autoencoder , support vector machine , anomaly detection , artificial intelligence , pattern recognition (psychology) , class (philosophy) , satellite , anomaly (physics) , computer science , convolutional neural network , remote sensing , geography , deep learning , physics , astronomy , condensed matter physics
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