State of the Art in Digital Surface Modelling From Multi-View High-Resolution Satellite Images

Abstract

Abstract. Data from the optical satellite imaging sensors running 24/7, is collecting in embarrassing abundance nowadays. Besides more suitable for large-scale mapping, multi-view high-resolution satellite images (HRSI) are cheaper when comparing to Light Detection And Ranging (LiDAR) data and aerial remotely sensed images, which are more accessible sources for digital surface modelling and updating. Digital Surface Model (DSM) generation is one of the most critical steps for mapping, 3D modelling, and semantic interpretation. Computing DSM from this dataset is relatively new, and several solutions exist in the market, both commercial and open-source solutions, the performances of these solutions have not yet been comprehensively analyzed. Although some works and challenges have focused on the DSM generation pipeline and the geometric accuracy of the generated DSM, the evaluations, however, do not consider the latest solutions as the fast development in this domain. In this work, we discussed the pipeline of the considered both commercial and opensource solutions, assessed the accuracy of the multi-view satellite image-based DSMs generation methods with LiDAR-derived DSM as the ground truth. Three solutions, including Satellite Stereo Pipeline (S2P), PCI Geomatica, and Agisoft Metashape, are evaluated on a WorldView-3 multi-view satellite dataset both quantitatively and qualitatively with the LiDAR ground truth. Our comparison and findings are presented in the experimental section.

DSM Generation from Single and Cross-Sensor Multi-View Satellite Images Using the New Agisoft Metashape: The Case Studies of Trento and Matera (Italy)

“…This paper aims at deeply investigating and testing the Agisoft Metashape satellite processing capabilities, by continuing the work started in [13]. Indeed, it is worth noticing that to the best of our knowledge, the Agisoft Metashape satellite processing module has been only very partially investigated in previous works [13,14]. Han et al [14] compared the performance of three software solutions for DSM generation, including Agisoft Metashape; they assessed the accuracy of DSMs generated using a WorldView-3 multi-view satellite dataset.…”

“…Indeed, it is worth noticing that to the best of our knowledge, the Agisoft Metashape satellite processing module has been only very partially investigated in previous works [13,14]. Han et al [14] compared the performance of three software solutions for DSM generation, including Agisoft Metashape; they assessed the accuracy of DSMs generated using a WorldView-3 multi-view satellite dataset. In [13] only preliminary results were discussed and, also in this case, none with cross-sensor imagery.…”

A Generic Bundle Adjustment Methodology for Indirect RPC Model Refinement of Satellite Imagery

“…with a point cloud registration algorithm. Previous works show that geometry based alignments can be used at a local scale to elude any prior RPC correction [18,24,29], but they offer poor scalability as the amount of models to register increases. Running a bundle adjustment to refine the RPC models seems a more natural and less-constrained solution to the problem, as long as enough tie points are available.…”

Evaluation of high‐resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm

“…This gap reflects the generally limited understanding of how DEMs generated from stereo satellite photographs perform for terrain analysis applications. These DEMs include those produced using other codes such as MicMac, PCI Geomatica, Ames Stereo Pipeline (ASP), and from commercially available satellite imagery, for example, from Pléiades imagery (Han et al, 2020;Rupnik et al, 2017;Shean et al, 2016).…”