Jun 29, 2019 · In this paper, we present a deep learning approach for very low bit rate seismic data compression. Our goal is to preserve perceptual and numerical aspects of ...
In this paper, we present a deep learning approach for very low bit rate seismic data compression. Our goal is to preserve perceptual and numerical aspects ...
In this paper, we present a deep learning approach for very low bit rate seismic data compression. Our goal is to preserve perceptual and numerical aspects ...
We'll discuss a deep-learning approach for very low bit rate seismic data compression. ... seismic images, using 2D and 3D convolutions. It benefits from ...
Missing: Autoencoders. | Show results with:Autoencoders.
Low bit rate 2D seismic image compression with deep autoencoders. AP Schiavon, JP Navarro, M Bernardes Vieira, PM Cruz e Silva.
In this paper, we present a deep learning approach for very low bit rate seismic data compression. Our goal is to preserve perceptual and numerical aspects ...
We present an end-to-end trainable image compression framework for low bit-rate image compression. Our method is based on variational autoencoder, ...
Missing: 2D Seismic
Vieira and P. M. C. E. Silvax, Low bit rate 2D seismic image compression with deep autoencoders, International Conference on Computational Science and Its ...
Información del artículo Low bit rate 2D seismic image compression with deep autoencoders.
Apr 21, 2021 · In this paper, two convolutional autoencoders (CAEs) are proposed for seismic data compression. The two algorithms are mainly based on the ...