Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks

Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks

The automatic classification of ships from aerial images is a considerable challenge. Previous works have usually applied image processing and computer vision techniques to extract meaningful features from visible spectrum images in order to use them as the input for traditional supervised classifie...

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Bibliographic Details
Main Authors: Antonio-Javier Gallego, Antonio Pertusa, Pablo Gil
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Remote Sensing
Subjects:
deep learning
aerial image classification
ships classification
maritime surveillance
optical remote sensing
convolutional neural networks
Online Access:http://www.mdpi.com/2072-4292/10/4/511

Internet

http://www.mdpi.com/2072-4292/10/4/511

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