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Towards fast 3D reconstruction of urban areas from aerial nadir images for a near real-time remote sensing system

: Espinosa, Nayeli; Lenz, Andreas; Gross, Wolfgang; Middelmann, Wolfgang


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Geoscience and Remote Sensing Society:
IGARSS 2018, IEEE International Geoscience and Remote Sensing Symposium. Proceedings : Observing, understanding and forecasting the dynamics of our planet, July 22-27, 2018, Valencia, Spain
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-7150-4
ISBN: 978-1-5386-7149-8
ISBN: 978-1-5386-7151-1
International Geoscience and Remote Sensing Symposium (IGARSS) <2018, Valencia>
Fraunhofer IOSB ()
near real-time remote sensing; 3D reconstruction, aerial nadir images; PatchMatch Stereo algorithm; Semi-Global Matching algorithm; low disparity; subpixel disparity level

At Fraunhofer IOSB, a concept for a near real-time airborne 3D mapping system for disaster management and security applications was proposed [1]. In addition to an Airborne Laser Scanner (ALS), a RGB camera facing nadir is installed on that platform. Subsequent RBG pictures are used for reconstructing urban scenes, and an ALS point cloud is used as a reference data set to evaluate this work. For in-flight applications, the implemented 3D reconstruction from overlapping nadir images should operate in near real-time. This paper focuses on computational performance and quality considerations of 3D reconstruction of urban scenes with aerial images. Different subpixel disparity levels are considered for generating 3D models. The run-time and quality for depth map generation with two methods are evaluated as well. The PatchMatch Stereo (PMS) algorithm is compared with the Semi-Global Matching (SGM), the most popular algorithm for 3D reconstruction.