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A neural network coded in TensorFlow 1 that produces satellite images from acoustic images.

Home Page: https://ieeexplore.ieee.org/abstract/document/8614099

License: Apache License 2.0

Python 100.00%
deep-learning satellite-images image-translation sonar-translation convolutional-neural-network

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son2sat's Issues

Questions on data

Nice work! This is great stuff! I'm doing some similar work and hoping to use the provided dataset.

I've got a few questions on this work below.

  1. The dataset provided here looks like it's used in the IROS paper "Matching Color Aerial Images and Underwater Sonar Images using Deep Learning for Underwater Localization" I'm curious are all the images in the provided dataset 100% overlap? If not how can I tell which images have what amount of overlap?

  2. What is the sonar used for this data? I'd like to know the brand, model and if the resolution is adjustable, what resolution is it set to during data collection.

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