An Operational Pipeline for Generating Digital Surface Models from Multi-Stereo Satellite Images for Remote Sensing Applications

Multi-view satellite images are particularly useful in providing large-scale geometric information and can benefit a wide range of remote sensing applications. This paper presents an operational and fully automated pipeline that performs stereo and multi-stereo reconstruction using RPC stereo processor (RSP) software. We demonstrate that the processed information such as per-pixel registered orthophotos and digital surface models may serve as attractive sources for remote sensing applications such as 3D building and canopy modeling, land-cover classification that might be traditionally limited in 2D remote sensing.