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Improved Altitude Spatial Resection Algorithm for Oblique Photogrammetry
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DOI：10.1109/LGRS.2018.2842075.png)
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Abstract
En 中文
As a fundamental problem, spatial resection based on collinearity equations has been a subject of study since the beginning of photogrammetry. Owing to the nonlinearity of collinearity equations, the standard Newton-Raphson method requires approximate values for unknown parameters. Therefore, the method is inapplicable to modern oblique photogrammetry. In this letter, we propose a new altitude spatial resection algorithm that combines closed-form solutions and iterative solutions. In this algorithm, a set of homotopy algorithm solutions is first selected as the initial value on the basis of the minimum sum of the squared errors. Quasi-Newton method is then used for nonlinear iteration. Experimental results obtained from different data sets indicate excellent performance compared with serial implement.
Keywords:
Collinearity equations
exterior orientations
homotopy analysis method (HAM)
nonlinear iteration
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