Robust RPC Bundle Adjustment for Multi-Date Satellite Imagery with Season-Invariant Correspondences
This work proposes an appearance-aware RPC refinement pipeline that combines learned local feature matching for season-invariant correspondences with global image descriptors for selecting visually compatible image pairs, which reduces redundant and error-prone matching while preserving the connectivity of the matching graph.