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This paper proposes a method that combines the style transfer technique andthe learned descriptor to enhance the matching performances of underwater sonarimages. In the field of underwater vision, sonar is currently the mosteffective long-distance detection sensor, it has excellent performances in mapbuilding and target search tasks. However, the traditional image matchingalgorithms are all developed based on optical images. In order to solve thiscontradiction, the style transfer method is used to convert the sonar imagesinto optical styles, and at the same time, the learned descriptor withexcellent expressiveness for sonar images matching is introduced. Experimentsshow that this method significantly enhances the matching quality of sonarimages. In addition, it also provides new ideas for the preprocessing ofunderwater sonar images by using the style transfer approach.

Matching Underwater Sonar Images by the Learned Descriptor Based on Style Transfer Method