Built-Up Area Extraction From High Temporal Resolution Gf-4 Images

Although satellite remote sensing imagery is suitable for mapping and monitoring the built-up areas, the application of built-up area extraction techniques in the literatures is still constrained by low accuracy in various situations. As the GF-4 satellite is one of the few moderate spatial resolution geostationary orbit remote sensing satellites, the purpose of this study is to introduce a method that consistently improves the accuracy of built-up area extraction by utilizing the temporal characteristics of the dense time series of GF-4 images. The results indicate that the proposed method can effectively extract built-up areas and improve the accuracy of the results significantly especially in the presence of surface water bodies.