Çekişmeli Üretici Ağlar (GAN) İle Harita Üretimi ve Manipülasyonu

Artificial intelligence makes the Big Data processable as the spread of the Internet. Machine learning, which is a type of artificial intelligence, has made it easier to classify, interpret and process data. On the other hand, the development of graphics processing units has facilitated and accelerated the work done by providing the necessary infrastructure for processing data consisting of images. The development of image processing operation will enable the processing and production of architectural data sets consisting of images. This study aims to show the processability of the image set in map scale and to encourage to think and examine how the achievements in this process can be processed in different scales In accordance with this purpose, during the study, satellite images were translated into map images of a game using a GAN model. *This study is produced from a project during the course named ‘Special Topics in Architectural Design: Machine Learning’ which is held by Dr. Ozgun Balaban within the Architectural Design Computing Master Program of Istanbul Technical University.