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2026

A Graph-Based Solution for RFM Problem via Accelerated ADMM

The rational function model (RFM) is crucial for the geometric processing of remote sensing satellite imagery. However, estimating the unknown rational polynomial coefficients (RPCs) remains an ill-posed and over-parameterized problem due to severe multicollinearity. Existing regularization methods predominantly rely o...

Tian-Yu Yan, Cong-Zhen Hu, Wei An et al. · 0 citations
Open access Aug 2026

Sparse Rational Polynomial Coefficient Estimation Method via Low-Rank Matrix Constraint

This paper proposes a sparse RPC estimation method via low-rank matrix constraint, called LRMC-RFM, and demonstrates that the proposed method achieves better performance than existing competing methods.

Cong-Zhen Hu, Jia-Jie He, Tian-Yu Yan et al. · 0 citations

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