论文标题

遥感的神经风格转移

Neural Style Transfer for Remote Sensing

论文作者

Karatzoglidi, Maria, Felekis, Georgios, Charou, Eleni

论文摘要

Leon A. Gatys等人(一种艺术风格的神经算法)中概述的著名技术已成为学术文献和工业应用中的一个热门话题。神经风格转移(NST)构成了广泛应用程序的重要工具,例如2D图像的艺术风格,用户辅助创建工具和用于娱乐应用程序的生产工具。这项研究的目的是提出一种基于NST算法的卫星图像创建艺术图的方法。该方法包括三个基本步骤(i)在原始卫星图像上应用语义图像分割的应用,将其内容分为类(即土地,水),(ii)每个类别的神经样式传递应用,以及(iii)创建拼贴画,即由上一个步骤中生成的两个风格图像组合的艺术图像。

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

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