Image-to-Image Translation in Remote Sensing
Keywords: Deep Learning, Multi-Modal Remote Sensing, Data Fusion
Abstract: To a large extent, remote sensing data comes in the form of images. Due to many different sensor technologies being used for the conversion of electromagnetic radiation into imagery, remote sensing is characterized by a high versatility of different image types. Having this background in mind, it becomes obvious, why techniques for the translation of images from one modality to images from another modality have been catching more and more interest in recent years. Examples include the translation of aerial images into maps, of SAR images into optical images, or of images from one certain spectral region into images from a different spectral region. This thematic session will provide a forum for the discussion of latest developments in the field of remote sensing-based image-to-image translation, no matter if addressed from a methodical or application-oriented point-of-view.