  Buying a home is one of the most important buying decisions people have to
make in their life. The latest research on real-estate appraisal focuses on
incorporating image data in addition to structured data into the modeling
process. This research measures the prediction performance of satellite images
and structured data by using convolutional neural networks. The resulting CNN
model trained performs 7% better in MAE than the advanced baseline of a neural
network trained on structured data. Moreover, sliding-window heatmap provides
visual interpretability of satellite images, revealing that neighborhood
structures are essential in the price estimation.
