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Leica Photogrammetry Suite Project Manager

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To rectify image data, various geometric modeling methods such aspolynomial transformation, multisurface (radial basis) functions,finite element analysis (rubber sheeting), and collinearity equationscan be applied (Yang 1997). While the choice of the proper modelingmethod depends on data sources and data availability, thecollinearity equation based orthorectification produces the mostreliable solution for raw image data by incorporating the sensor orcamera orientation, relief displacement, and the Earth’s curvature inits modeling process.Orthorectification in LPS <strong>Project</strong> <strong>Manager</strong> generates planimetricallytrue orthoimages in which the displacement of objects due to sensoror camera orientation, terrain relief, and other errors associated withimage acquisition and processing has been removed. Theorthoimage has the geometric characteristics of a map and theimage qualities of a photograph. The objects on an orthoimage arein their true orthographic positions. Therefore, orthoimages aregeometrically equivalent to conventional line and symbol planimetricmaps. Any measurement taken on an orthoimage reflects ameasurement taken on the ground.Orthoimages serve as the ideal information building blocks forcollecting geographic information required for a geographicinformation system (GIS). They can be used as reference imagebackdrops to maintain or update an existing GIS. Using the IMAGINEVector module, ground features can be collected and subsequentlyattributed to reflect the spatial and nonspatial characteristicsassociated with a feature. Using ERDAS IMAGINE, multipleorthoimages can be mosaicked to form seamless orthoimage basemaps.LPS <strong>Project</strong> <strong>Manager</strong> uses the self-calibrating bundle blockadjustment method in its triangulation process. By doing so, theinternal geometry of each image and the relationships betweenoverlapping images are determined. When multiple images areinvolved in a data block, such a modeling method can significantlyease the need of acquiring many GCPs.Image tie points are the common points in overlapping areas of twoor more images. They connect the images in the block to each otherand are necessary input for the triangulation. LPS <strong>Project</strong> <strong>Manager</strong>automates the identification and measurement of tie points so thatyour work and time for manual measurement are drasticallyreduced.In addition to orthoimages, digital elevation models (DEMs) andtopographic features are two other major geographic informationcomponents of a GIS. In order to extract a DEM and topographicfeatures from imagery, the image orientations need to be known.The triangulation results of LPS <strong>Project</strong> <strong>Manager</strong> determine theimage position and orientations required for the purpose of DEMextraction and stereo feature collection.LGGI Template DocumentUsing LPS <strong>Project</strong> <strong>Manager</strong> / 4

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