Isprs Benchmark for Multi-Platform Photogrammetry

Abstract

Airborne high resolution oblique imagery systems and RPAS/UAVs are very promising technologies that will keep on influencing the development of geomatics in the future years closing the gap between terrestrial and classical aerial acquisitions. These two platforms are also a promising solution for National Mapping and Cartographic Agencies (NMCA) as they allow deriving complementary mapping information. Although the interest for the registration and integration of aerial and terrestrial data is constantly increasing, only limited work has been truly performed on this topic. Several investigations still need to be undertaken concerning algorithms ability for automatic co-registration, accurate point cloud generation and feature extraction from multiplatform image data. One of the biggest obstacles is the non-availability of reliable and free datasets to test and compare new algorithms and procedures. The Scientific Initiative "ISPRS benchmark for multi-platform photogrammetry", run in collaboration with EuroSDR, aims at collecting and sharing state-of-the-art multi-sensor data (oblique airborne, UAV-based and terrestrial images) over an urban area. These datasets are used to assess different algorithms and methodologies for image orientation and dense matching. As ground truth, Terrestrial Laser Scanning (TLS), Aerial Laser Scanning (ALS) as well as topographic networks and GNSS points were acquired to compare 3D coordinates on check points (CPs) and evaluate cross sections and residuals on generated point cloud surfaces. In this paper, the acquired data, the pre-processing steps, the evaluation procedures as well as some preliminary results achieved with commercial software will be presented.

A Critical Review of Automated Photogrammetric Processing of Large Datasets

“…Although recent benchmarks and software evaluations exist (Nex et al, 2015;Aanaes et al, 2016;Knapitsch et al, 2017;Schoeps et al, 2017), the paper focuses on more complex environments, surveyed with different platforms / cameras and comparison metrics are given following a standard terminology (Luhmann et al, 2014;Granshaw, 2016). …”

Metric Evaluation Pipeline for 3d Modeling of Urban Scenes

“…When imaged from more oblique viewpoints, either from space or more commonly from airborne sensors, building facades can also be observed sufficiently for 3D reconstruction. We plan to refine our pipeline to include true 3D volumetric assessment compared to high-resolution multilook airborne lidar (e.g., Roth et al 2007) and terrestrial lidar (e.g., Nex et al 2015 andWang et al 2016) for assessment of dense 3D reconstruction for complex building facades.…”

“…The ISPRS scientific research agenda reported in Chen et al (2015) identified an ongoing need for benchmarking in photogrammetry (Commission II) and open geospatial science in spatial information science (Commission IV). Recent efforts toward this goal include work by Rottensteiner et al (2014), Nex et al (2015), Campos-Taberner et al (2016), Koch et al (2016), and Wang et al (2016). Most publicly available benchmark datasets for 3D urban scene modeling have consisted of high resolution airborne imagery and lidar suitable for 3D modeling on a relatively modest scale.…”

Accurate Estimation of Orientation Parameters of Uav Images Through Image Registration With Aerial Oblique Imagery

“…The data set used in this paper is a sample of images availed to researchers in the framework of the multi-platform photogrammetry benchmark (Nex et al 2015) undertaken by a scientific initiative of ISPRS and EuroSDR. Figure 1 shows a sample pair used in our experiments.…”