DEADALUS: Massive-scale urban reconstuction, classification, and rendering from remote sensor imagery

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Advances in remote sensing technologies have enabled the widespread availability of geo-imagery including satellite and oblique aerial images, and a relatively recent yet fast maturing technology called wide-area motion imagery (WAMI). Remote sensing has already been successfully employed in many applications such as intelligence, security, reconnaissance, urban planning and monitoring, etc. However, images corresponding to urban areas typically result in large volumes of data which require new computer vision and 3D graphics techniques for emerging data exploitation, including 3D reconstruction, geospatial feature classification and photorealistic rendering of the reconstructed models. Our proposed research methodology is to develop new techniques for handling big sets of large-sized images containing repetitive patterns using dense matching and deep learning for 3D reconstruction, object classification, and realistic appearance modeling. Preliminary investigations carried out by Concordia researchers have been seen by both DRDC and Presagis, a Canadian company and world leader in providing simulation, modeling, and VR software to aerospace, defense, and automotive industries, and all three partners consider it highly beneficial to persist and pursue with this research methodology. DRDC and Presagis have extensive domain knowledge, and Concordia faculty have the requisite research background and expertise. Further, Presagis has powerful software tools which will help create ground truth data needed for training deep networks, and also in validation of 3D reconstruction results. The project will facilitate training of three Doctoral and four Masters students in leading edge topics such as very large remote sensor image data processing, 3D graphics, computer vision, and deep learning, all of great interest and benefit to the Canadian scientific and industrial communities. The fundamental research andinvestigations should open new ground for research in vision, graphics and airborne simulation. The results are of benefit to Canada, as it is expected that Presagis, would be able to use them to provide faster, better and globally competitive solutions to its clients worldwide.