Abstract
Ongoing innovations in matching algorithms are continuously improving the quality of geometric surface representations generated automatically from aerial images. This development motivated the launch of the joint ISPRS/EuroSDR project “Benchmark on High Density Aerial Image Matching”, which aims on the evaluation of photogrammetric 3D data capture in view of the current developments in dense multi-view stereo-image matching. Originally, the test aimed on image based DSM computation from conventional aerial image flights for different landuse and image block configurations. The second phase then put an additional focus on high quality, high resolution 3D geometric data capture in complex urban areas. This includes both the extension of the test scenario to oblique aerial image flights as well as the generation of filtered point clouds as additional output of the respective multi-view reconstruction. The paper uses the preliminary outcomes of the benchmark to demonstrate the state-of-the-art in airborne image matching with a special focus of high quality geometric data capture in urban scenarios.
Highlights
The reconstruction of 3D surface representations from large sets of overlapping imagery has been, and still is, a vivid research topic in photogrammetry and computer vision
While such 2.5D models are suitable for a number of applications, data collection based on oblique airborne imagery has developed to an important alternative source of information especially in complex urban environments
The available amount of detail is sufficient to evaluate the results from the oblique aerial images to be generated at a point distance of 10cm, but can be used for the high resolution results from the unmanned aerial vehicles (UAV) and terrestrial imagery, which are close to the sub-centimeter level
Summary
The reconstruction of 3D surface representations from large sets of overlapping imagery has been, and still is, a vivid research topic in photogrammetry and computer vision. This comprises the evaluation of nadir airborne image configurations for the reconstruction of Digital Surface Models (DSM) While such 2.5D surface representations are sufficient for applications at small or medium scale, a growing number of scenarios in complex urban environments require explicit 3D geometric information. Such multi-view matching pipelines for the evaluation of airborne nadir imagery usually generate DSM rasters at a grid size corresponding to the average pixel footprint. While such 2.5D models are suitable for a number of applications, data collection based on oblique airborne imagery has developed to an important alternative source of information especially in complex urban environments.
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