TY - GEN
T1 - Open photogrammetry
AU - Tellidis, Ioakeim
AU - Levin, Eugene
AU - Grechishev, Aleksander
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - Free software
KW - Gaia
KW - Open source
KW - Openphotogrammetry
KW - Photogrammetry
KW - Python
KW - Sensors
UR - http://www.scopus.com/inward/record.url?scp=84887913737&partnerID=8YFLogxK
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:84887913737
SN - 9781629930718
T3 - American Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013
SP - 711
EP - 716
BT - American Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013
T2 - American Society for Photogrammetry and Remote Sensing Annual Conference, ASPRS 2013
Y2 - 26 March 2013 through 28 March 2013
ER -