360° IMAGE ORIENTATION AND RECONSTRUCTION WITH CAMERA POSITIONS CONSTRAINED BY GNSS MEASUREMENTS

Abstract. Photogrammetric applications using 360° images are becoming more and more popular in different fields, such as cultural heritage documentation of narrow spaces; civil, architectural, and environmental projects like tunnel surveying; mapping of urban city centres, etc. The popularity of 360° photogrammetry relates to the high productivity of the acquisition phase, giving the opportunity to capture the entire scene around the user in a relatively short time. On the other hand, the photogrammetric workflow needs ground control points (GCPs), well distributed over the survey area, to georeference the produced 3D data. Placing, measuring on-field, and identifying GCP on images is time-consuming and sometimes even not feasible due to environmental conditions. While effective solutions exist for UAV-based projects, direct georeferencing and GNSS assisted photogrammetry is still not fully exploited for ground-based acquisitions. This paper aims at presenting a solution coupling 360° images and high-precision GNSS systems for direct georeferencing of outdoor projects without the need for manually measuring GCPs. Three different acquisition modes for 360° images and GNSS data are presented, and orientation results are compared with manually measured Check Points.

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: 360° IMAGE ORIENTATION AND RECONSTRUCTION WITH CAMERA POSITIONS CONSTRAINED BY GNSS MEASUREMENTS ; volume:XLVIII-1/W1-2023 ; year:2023 ; pages:411-416 ; extent:6 ; The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVIII-1/W1-2023 (2023), 411-416 (gesamt 6)

Contributors, Places and Time

• Creator: Previtali, M. ; Barazzetti, L. ; Roncoroni, F. ; Cao, Y. ; Scaioni, Marco

Further information

• DOI: 10.5194/isprs-archives-XLVIII-1-W1-2023-411-2023
• URN: urn:nbn:de:101:1-2023060104303613355057
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 14.08.2025, 10:57 AM CEST