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Researchers are doing intensive work on satellite images due to theinformation it contains with the development of computer vision algorithms andthe ease of accessibility to satellite images. Building segmentation ofsatellite images can be used for many potential applications such as city,agricultural, and communication network planning. However, since no datasetexists for every region, the model trained in a region must gain generality. Inthis study, we trained several models in China and post-processing work wasdone on the best model selected among them. These models are evaluated in theChicago region of the INRIA dataset. As can be seen from the results, althoughstate-of-art results in this area have not been achieved, the results arepromising. We aim to present our initial experimental results of a buildingsegmentation from satellite images in this study.

Building Segmentation on Satellite Images and Performance of Post-Processing Methods