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Accuracy and Efficiency: The Comparison of Different RPC Parameters Solving Methods
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作者 Longhui Wang Tao Wang +1 位作者 Yan Zhang Kun Zhang 《Journal of Geoscience and Environment Protection》 2020年第10期117-126,共10页
<div style="text-align:justify;"> As a generalized sensor, the RPC model with its accuracy equally matches the physical sensor model. Moreover, the accurate positioning combining with the flexibility i... <div style="text-align:justify;"> As a generalized sensor, the RPC model with its accuracy equally matches the physical sensor model. Moreover, the accurate positioning combining with the flexibility in application leads the RPC model to be the priority in photogrammetry processing. Generally, the RPC model is calculated through a control grid. Different RPC parameters solving methods and the operation efficiency all serve as variables in the accuracy of the model. In this paper, the ridge estimation iterative method, spectrum correction iteration, and conjugate gradient method are employed to solve RPC parameters;the accuracy and efficiency of three solving methods are analyzed and compared. The results show that ridge estimation iterative method and spectrum correction iteration have obvious advantages in accuracy. The ridge estimation iterative method has fewer iteration times and time con-sumption, and spectrum correction iteration has more stable precision. </div> 展开更多
关键词 Rational Polynomial Coefficients (RPC) Ridge Estimation Iterative Method spectrum correction iteration Conjugate Gradient Method
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