Open photogrammetry

Ioakeim Tellidis, Eugene Levin, Aleksander Grechishev

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In recent years, the field of Geographical Information Sciences has greatly benefited from the dramatic increase in amount and availability of high-quality geospatial imagery. However, remotely sensed imagery cannot be immediately integrated into cyber-infrastructures. This is due to fact that raw imagery obtained from satellites, UAV's, and Non-Metric terrestrial cameras needs to be processed photogrammetrically before being applicable. Typically photogrammetric processing encompasses: sensor calibration, georeferencing based on rigorous sensor model or rational polynomials, triangulation with ground control densification, rectification and/or orthorectification, 3D feature and DEM extraction; and requires use of specialized commercial software licenses. Online photogrammetric processing frameworks do not exist. The overall goal of our research project is to design a free, open-source framework, a geospatial challenging web-portal for photogrammetric processing of remotely sensed imagery. To achieve this goal, Michigan Technological University introduced OpenPhotogrammetry as an interoperable sustainable geospatial framework and web-portal. We named the project, GAIA.

Original languageEnglish
Title of host publicationAmerican Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013
Pages711-716
Number of pages6
StatePublished - 2013
Externally publishedYes
EventAmerican Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013 - Baltimore, MD, United States
Duration: 26 Mar 201328 Mar 2013

Publication series

NameAmerican Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013

Conference

ConferenceAmerican Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013
Country/TerritoryUnited States
CityBaltimore, MD
Period26/03/1328/03/13

Keywords

  • Free software
  • Gaia
  • Open source
  • Openphotogrammetry
  • Photogrammetry
  • Python
  • Sensors

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