We propose a method to regenerate and correct Rational Polynomial Coefficients (RPCs) using KOMPSAT-3A imagery. Physical sensor model of KOMPSAT-3A and virtual grid over the target area were used to estimate the new RPCs. Three different image correction models (image coordinate translation model, shift and drift model, and affine transformation model) were used to remove image space error. We tested our method in Seoul and Goheung area. When using un-corrected new RPCs, the results showed a 20-30 pixel error. After applying image correction models, the error reduced to 1.8 to 5.5 pixels. The expected error map was generated from the error propagation analysis using Gauss-Markov Model.
|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 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