HEAL DSpace

SPATIAL DISTRIBUTION REQUIREMENTS OF REFERENCE GROUND CONTROL FOR ESTIMATING LIDAR/INS BORESIGHT MISALIGNMENT

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dc.contributor.author Pothou, A en
dc.contributor.author Toth, C en
dc.contributor.author Karamitsos, S en
dc.contributor.author Georgopoulos, A en
dc.date.accessioned 2014-03-01T01:58:58Z
dc.date.available 2014-03-01T01:58:58Z
dc.date.issued 2009 en
dc.identifier.issn 1413-4853 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/28800
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-77949552177&partnerID=40&md5=b720f00de70843cae7c169b6e1349547 en
dc.subject Boresight misalignment en
dc.subject GPS/INS en
dc.subject Direct Georeferencing en
dc.subject MMS en
dc.subject LiDAR en
dc.subject Collocation en
dc.title SPATIAL DISTRIBUTION REQUIREMENTS OF REFERENCE GROUND CONTROL FOR ESTIMATING LIDAR/INS BORESIGHT MISALIGNMENT en
heal.type journalArticle en
heal.language English en
heal.publicationDate 2009 en
heal.abstract LiDAR (Light Detection and Ranging, also known as Airborne Laser Scanning - ALS) is a powerful technology for obtaining detailed and accurate terrain models as well as precise description of natural and man-made objects from airborne platforms, with excellent vertical accuracy. High performance integrated GPS/INS systems provide the necessary navigation information for the LiDAR data acquisition platform, and therefore, the proper calibration of the entire Mobile Mapping System (MMS) including individual and inter-sensor calibration, is essential to determine the accurate spatial relationship of the involved sensors. In particular, the spatial relationship between the INS body frame and the LiDAR body frame is of high importance as it could be the largest source of systematic errors in airborne MMS. The feasibility of using urban areas, especially buildings, for boresight misalignment is still investigated. In this research, regularly or randomly distributed, photogrammetrically restituted buildings are used as reference surfaces, to investigate the impact of the spatial distribution and the distance between the necessary `building-positions' on boresight's misalignment parameter estimation. The data used for performance evaluation included LiDAR point clouds and aerial images captured in a test area in London, Ohio, USA. The city includes mainly residential houses and a few bigger buildings. en
heal.publisher UNIV FEDERAL PARANA, CENTRO POLITECNICO en
heal.journalName BOLETIM DE CIENCIAS GEODESICAS en
dc.identifier.isi ISI:000275901700005 en
dc.identifier.volume 15 en
dc.identifier.issue 5 en
dc.identifier.spage 776 en
dc.identifier.epage 789 en


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