Article citationsMore>>

Zhang, Y., & Liu, J. (2004). The Positioning Algorithm Based on RPC Models and Its Optimizing of Stereo Images from High Resolution Remote Sensing Satellites. Engineering of Surveying and Mapping, 13, 1-4.

has been cited by the following article:

• TITLE: Accuracy and Efficiency: The Comparison of Different RPC Parameters Solving Methods

  AUTHORS: Longhui Wang, Tao Wang, Yan Zhang, Kun Zhang

  KEYWORDS: Rational Polynomial Coefficients (RPC), Ridge Estimation Iterative Method, Spectrum Correction Iteration, Conjugate Gradient Method

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.8 No.10, October 20, 2020

  ABSTRACT: 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.