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Research On Data Processing Based On Non-metric Digital Camera

Posted on:2007-02-22Degree:MasterType:Thesis
Country:ChinaCandidate:H Q LvFull Text:PDF
GTID:2120360245483998Subject:Resources and Environment Remote Sensing
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With the development of close-range photogrammetry and the increase of resolution, common non-metric digital cameras have been the important equipments for close-range photogrammetry. Based on original critical research results, we did some research on camera calibration and data processing. This paper researched on digital close-range photogrammetry based on multi-baseline normal digital images. And it introduced the following results.1. In order to know lens distortion of digital cameras, we took full use of control field. Research and experiments illustrated that the measurement and alteration of common digital camera is successful. This photogrammetric techniques and methods based on ordinary digital images can be applied extensively in engineering which requests a moderate accuracy.2. During the process of data processing, we take three steps which include relative orientation, absolute orientation and model collection. It will provide initial value for bundle adjustment. The results of the experiment give us a good suggestion. The precision of bundle adjustment could reach 1/5000 if the number of control-points is enough and keep a good distribute.3. Rotation in relative orientation is consisted of angles which is the main reason of bad results. However, Pope-Hinsken could solve this problem. It replaces the angles with four parameters. It is a good way for the relative orientation.4. Because the number of control Points in multi-base line images is limited, we should take the action of model collection in order to make all images in the same control conditions. Model collection is depend on the points' elevation. After the conjunction of whole model, the next step is absolute orientation. Finally, we could convert the coordinate's control conditions into geodetic system.5. The bundle adjustment in multi-base line images is similar to Aerial photogrammetric. We always consider the value of the control points to be real while we take the action of bundle adjustment. We also did some research on the relation between control points' number and distribute.6. Finally, We take some examples to certificate the reliability of multi-base line images.
Keywords/Search Tags:digital close-range photogrammetry, multi-base line images, digital camera, camera calibration, interior element, control field, subpixel, relative orientation, absolute orientation, model collection, bundle adjustment
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