Multi-Unit Floor Plan Recognition and Reconstruction

Automatically deriving 3D representations of buildings is a challenging problem which is at the base of a wide range of applications. The DE-RISC project aims to generate a 3D model of the entire city of Rotterdam in The Netherlands, enabling many of these applications. Generating a 3D model of a building can be done in a variety of ways, of...

Building segmentation from airborne vhr images using mask r-cnn

Up-to-date 3D building models are important for many applications. Airborne very high resolution (VHR) images often acquired annually give an opportunity to create an up-to-date 3D model. Building segmentation is often the first and utmost step. Convolutional neural networks (CNNs) draw lots of attention in interpreting VHR images as they can...

Building classification of VHR airborne stereo images using fully convolutional networks and free training samples

Semantic segmentation, especially for buildings, from the very high resolution (VHR) airborne images is an important task in urban mapping applications. Nowadays, the deep learning has significantly improved and applied in computer vision applications. Fully Convolutional Networks (FCN) is one of the tops voted method due to their good...