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Automatic Extraction of Internal Wave Signature from Multiple Satellite Sensors Based on Deep Convolutional Neural Networks by Shuangshang Zhang; Bin Liu; Xiaofeng Li; Qing Xu is a scholarly article available to read on EtoBox.

What is Automatic Extraction of Internal Wave Signature from Multiple Satellite Sensors Based on Deep Convolutional Neural Networks about?

In this study, we proposed an automatic internal wave (IW) signature extraction method based on the deep convolutional neural networks (DCNN). Our objective is to provide a rapid and simple to use method that can tackle the IW signature extraction in images from different satellite sensors without re-training or manual interference. We proved the generalization ability of our method across multiple optical satellite sensors. The statistical results show this DCNNbased method has appreciable transferability and is promising for efficient extraction of internal wave signature in different satellite images with varying spatial resolution even under complex imaging conditions.

Author

Shuangshang Zhang; Bin Liu; Xiaofeng Li; Qing Xu

Publisher

IEEE

Published

2020

Language

EN