Matching Performance Analysis of Upsampled Satellite Image and GCP Chip for Establishing Automatic Precision Sensor Orientation for High-Resolution Satellite Images

초록

The escalating demands for high -resolution satellite imagery necessitate the dissemination of geospatial data with superior accuracy. Achieving precise positioning is imperative for mitigating geometric distortions inherent in high -resolution satellite imagery. However, maintaining sub -pixel level accuracy poses significant challenges within the current technological landscape. This research introduces an approach wherein upsampling is employed on both the satellite image and ground control points (GCPs) chip, facilitating the establishment of a high -resolution satellite image precision sensor orientation. The ensuing analysis entails a comprehensive comparison of matching performance. To evaluate the proposed methodology, the Compact Advanced Satellite 500-1 (CAS500-1), boasting a resolution of 0.5 m, serves as the high -resolution satellite image. Correspondingly, GCP chips with resolutions of 0.25 m and 0.5 m are utilized for the South Korean and North Korean regions, respectively. Results from the experiment reveal that concurrent upsampling of satellite imagery and GCP chips enhances matching performance by up to 50% in comparison to the original resolution. Furthermore, the position error only improved with 2x upsampling. However, with 3x upsampling, the position error tended to increase. This study affirms that meticulous upsampling of high -resolution satellite imagery and GCP chips can yield sub -pixel -level positioning accuracy, thereby advancing the state -of -the -art in the field.

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