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.
Highlights
Benefit from the revolution of satellite sensors and orbit revisit technology, more and more high-resolution optical Earth Observation Satellites have been launched, such as WorldView1~4, GeoEye-1, Pléiades-1A&1B, and SuperView-1
This paper reviewed the latest solutions for digital surface modelling from high-resolution multi-view satellite images
It should be noted that Agisoft Metashape utilized all the selected images and combined them for possible stereo matching first, a fused Digital Surface Model (DSM) is computed in its own strategy, which is unknown for a commercial reason
Summary
Benefit from the revolution of satellite sensors and orbit revisit technology, more and more high-resolution optical Earth Observation Satellites have been launched, such as WorldView1~4, GeoEye-1, Pléiades-1A&1B, and SuperView-1. In the foreseeable future, any area of interest on the earth's surface can be observed by tens to hundreds of high-resolution satellites. Leveraging the highresolution multi-view satellite images in 3D reconstruction fuels remote sensing applications in a variety of domains, such as ecological monitoring, 3D city-scale modelling, urban planning, and navigation (Gruen, 2012; Haala & Kada, 2010). Given both more complicated imaging geometry models and the vast number of pixels for the satellite images created a considerable gap between the photogrammetry and computer vision community. This paper reviewed the latest solutions for digital surface modelling from high-resolution multi-view satellite images.
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