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Neural Style Transfer for Remote Sensing

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Document pages: 5 pages

Abstract: The well-known technique outlined in the paper of Leon A. Gatys et al., ANeural Algorithm of Artistic Style, has become a trending topic both inacademic literature and industrial applications. Neural Style Transfer (NST)constitutes an essential tool for a wide range of applications, such asartistic stylization of 2D images, user-assisted creation tools and productiontools for entertainment applications. The purpose of this study is to present amethod for creating artistic maps from satellite images, based on the NSTalgorithm. This method includes three basic steps (i) application of semanticimage segmentation on the original satellite image, dividing its content intoclasses (i.e. land, water), (ii) application of neural style transfer for eachclass and (iii) creation of a collage, i.e. an artistic image consisting of acombination of the two stylized image generated on the previous step.

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