Performance evaluation according to virtual grid size in the rational function model generation for KOMPSAT-5 SAR imagery

Yoonjo Choi, Seunghwan Hong, Ilsuk Park, Mohammad Gholami Farkoushi, Hong Gyoo Sohn

Research output: Contribution to conferencePaper

Abstract

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.

Original languageEnglish
Publication statusPublished - 2020
Event40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019 - Daejeon, Korea, Republic of
Duration: 2019 Oct 142019 Oct 18

Conference

Conference40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019
CountryKorea, Republic of
CityDaejeon
Period19/10/1419/10/18

All Science Journal Classification (ASJC) codes

  • Information Systems

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    Choi, Y., Hong, S., Park, I., Farkoushi, M. G., & Sohn, H. G. (2020). Performance evaluation according to virtual grid size in the rational function model generation for KOMPSAT-5 SAR imagery. Paper presented at 40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019, Daejeon, Korea, Republic of.