mlsanityData to 14 Oct 2026

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

arXiv 2212.13712 ↗First posted 28 Dec 2022cs.CV eess.IVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 21 of its 39 references that are in the map. First posted on arXiv 28 Dec 2022.

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21 of 39 references.

References · 21

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9 more
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