Hrlinknet: Linknet with High-Resolution Representation for High-Resolution Satellite Imagery

Automatic extraction of buildings from high-resolution remote sensing imagery is very useful in many applications such as city management, mapping, urban planning and geographic information updating. However, due to the general texture of the building and the complexity of the image background, high-precision building segmentation from high-resolution sensing image is still a challenging task. Existing state-of-the-art frameworks use repeated pooling and step operations leading to the loss of detailed information. Thus, high-resolution representations are essential for building extraction. On this basis, our proposed network, named as HRLinkNet, maintains high-resolution representations through the whole process based on the LinkNet. We tested it on WHU Building dataset. Experimental results show that the proposed HRLinkNet is superior to the LinkNet, UNet, DLinkNet, segnet and so on.