In utilizing satellite imagery, the Rational Function Model(RFM) simplifies the geometric relationship between image coordinates and ground targets. In this study, the RFM model for KOMPSAT-5 was generated and evaluated. The general least squares adjustment and Tikhonov regularization in the RFM generation process were applied to calculate the RFM coefficients. The virtual grid was generated using the physical sensor model for KOMPSAT-5 and used as control points to calculate the RFM coefficients. As a results, the virtual grid size did not show significant improvement from 7x7. In addition, the analysis result according to the number of the elevation layer was obtained sufficiently stable result even at 10x10x5.
|Publication status||Published - 2020|
|Event||40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of|
Duration: 2019 Oct 14 → 2019 Oct 18
|Conference||40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019|
|Country/Territory||Korea, Republic of|
|Period||19/10/14 → 19/10/18|
Bibliographical noteFunding Information:
This research was supported by a grant (2019-MOIS32-015) of Disaster-Safety Industry Promotion Program funded by Ministry of Interior and Safety (MOIS, Korea).
© 2020 40th Asian Conference on Remote Sensing, ACRS 2019: "Progress of Remote Sensing Technology for Smart Future". All rights reserved.
All Science Journal Classification (ASJC) codes
- Information Systems