Registration of Two-dimensional Geo-spatial Data by means of Trajectory-based Line Features
Date Issued
2015
Date
2015
Author(s)
Chien, Chih-Pei
Abstract
The registration of two-dimensional geo-spatial data depends on conjugate features and point features are generally considered for this need. Since the enormous increase in the volume of geo-spatial data, the difference between various types of data makes it difficult to extract conjugate point features. In addition to point features, line features, with frequent appearance in the scene and more geometric contribute, are deemed favorable for being primitives under collinear condition. This study exploits the vector form line features and derives trajectory-based transformation models, including similarity, affine and projective, which are all line-preserving transformations. Besides, the minimum solution of solving transformation parameters is analyzed by geometric and numerical approach. The parameter estimation is based on the least squares adjustment. Some line features are also used for evaluating quality of transformation to assess comprehensively. The simulation analyzes the impact of line feature-related factors, divided into geometry and observable quality. The geometry-related factors include distribution, number and orientation of line features. The observable quality is affected by length and measurement quality. The simulated results show that distribution and orientation of line features have significant influence on transform quality. In experiment, the registration of close-range imagery pairs using 19 line features with projective transformation can reach 0.39 pixel errors, which is close to point-based one. Moreover, the registration of two 1/1000 digital topographic maps using 7 line features based on similarity transformation have 0.348 meter errors. If 7 line features with 5 point features are used as conjugate features, the root mean square errors could decrease to 0.220 meters.
Subjects
Two-dimensional Geo-spatial Data Registration
Trajectory-based Line Features
Vector Form Line
Close-range Imagery
Digital Topographic Maps
Type
thesis
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ntu-104-R02521112-1.pdf
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