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Abstract. SAR images are different from the optical images in terms of image properties with the values of scattering instead of reflectance. This makes SAR images difficult to apply the traditional object detection methodologies. In recent years, deep learning models are frequently used in segmentation and object detection purposes. In this study, we have investigated the potential of U-Net models for building detection from SAR and optical image fusion. The datasets used are Sentinel 1 SARdoi:10.5194/isprs-archives-xliv-4-w3-2020-215-2020 fatcat:sppvji3kezcxxmrddftwlghu74