Detecting residential regions in satellite images using local features and graph matching

Local invariants are powerful tools to recognize objects in an image under transformations. In this study, we propose a novel method to detect residential regions by using local SIFT (scale invariant feature transform) features in satellite images. For this purpose, we construct graphs using image features as nodes and their neighborhoods as edges. We then match the extracted graphs with the ones in our database. Our method is able to detect various residential regions.