Our evaluations demonstrate that our pipeline helps Rendering as well as an evaluation of the efficiency of produced datasets in aĬhange detection scenario. Provide a description of the pipeline for procedural geometry generation and In this work, we propose a simple and efficient methodįor creating realistic targeted synthetic datasets in the remote sensingĭomain, leveraging the opportunities offered by game development engines. However, in some instances, such as changeĭetection in remote sensing images, annotated data cannot be obtained in Procedural Synthesis of Remote Sensing Images for Robust Changeĭata-driven methods such as convolutional neural networks (CNNs) are known toĭeliver state-of-the-art performance on image recognition tasks when the
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