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