고해상 위성 스트립 영상의 GCP 칩을 이용한 경제적인 RPCs 보정

Most high-resolution satellite images are acquired in strip mode using a pushbroom sensor with a CCD (Charged-Coupled Device). To process the long image strip with precise orbit and attitude data, a physical sensor model is required. The strip is then divided into multiple scenes, each of which is delivered with a replacement sensor model, typically RPCs (Rational Polynomial Coefficients). However, RPCs can sometimes be inaccurate, so ground reference data such as GCPs (Ground Control Points) are used to compensate for bias and improve positional accuracy. While GCP image chips, derived from orthorectified aerial or satellite images, are a popular type of reference data, they can be expensive and become outdated over time. To address this issue, it is necessary to reduce the number of GCP chips required for bias compensation. In this study, we investigated whether image strip RPCs bias compensation could be achieved with fewer GCP chips than scene-based RPCs bias compensation. We reduced the number of GCP chips required for strip RPCs bias compensation and assessed its accuracy. The experimental results showed that strip RPCs bias compensation with a reduced number of GCPs had better accuracy than single scene RPCs adjustment using the same number of GCPs. Moreover, bias compensation could be performed with fewer GCPs.