TY - JOUR
T1 - Geometric accuracy analysis of the measurement Ground Control Point (GCP) in the rectification process of high resolution satellite image with polynomial method (case study: Wlingi Sub-district, Blitar Regency)
AU - Taufik, M.
AU - Puspitasari, V. P.
N1 - Publisher Copyright:
© 2019 Published under licence by IOP Publishing Ltd.
PY - 2019/12/13
Y1 - 2019/12/13
N2 - High resolution imagery can be used in basic map making process. Basic map is basic data used for Comprehensive Systematic Land Registration (PTSL) making. However, the use of high resolution imagery is still has geometric errors that must be eliminated by performing rectification process. This study took place in Wlingi Sub-district, Blitar Regency. In this research polynomial method orde 1, 2, and 3 are used in rectification process. This method is done to obtain the best results of rectification process. Determination of the number of Ground Control Point (GCP) in orde 1, 2, and 3 are the main focus in this study. Geometry accuracy analysis is done by calculating the Root Mean Square Error (RMSE) of GCP used in this rectification process and testing the statistics of the distance of the image rectification with distance in the field. The results showed that polynomial method in orde 1 with 5 GCP points produced 0.487 m RMSE, orde 2 with 8 GCP points produced 0.397 m RMSE, and orde 3 polynomial with 12 GCP points produced 0.326 m RMSE. In this study all of polynomials method orde 1, 2, and 3 are suitable for making basic maps for PTSL baseline data Wlingi District, with a scale of 1:1,000 in grade 3.
AB - High resolution imagery can be used in basic map making process. Basic map is basic data used for Comprehensive Systematic Land Registration (PTSL) making. However, the use of high resolution imagery is still has geometric errors that must be eliminated by performing rectification process. This study took place in Wlingi Sub-district, Blitar Regency. In this research polynomial method orde 1, 2, and 3 are used in rectification process. This method is done to obtain the best results of rectification process. Determination of the number of Ground Control Point (GCP) in orde 1, 2, and 3 are the main focus in this study. Geometry accuracy analysis is done by calculating the Root Mean Square Error (RMSE) of GCP used in this rectification process and testing the statistics of the distance of the image rectification with distance in the field. The results showed that polynomial method in orde 1 with 5 GCP points produced 0.487 m RMSE, orde 2 with 8 GCP points produced 0.397 m RMSE, and orde 3 polynomial with 12 GCP points produced 0.326 m RMSE. In this study all of polynomials method orde 1, 2, and 3 are suitable for making basic maps for PTSL baseline data Wlingi District, with a scale of 1:1,000 in grade 3.
UR - http://www.scopus.com/inward/record.url?scp=85077589925&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/389/1/012040
DO - 10.1088/1755-1315/389/1/012040
M3 - Conference article
AN - SCOPUS:85077589925
SN - 1755-1307
VL - 389
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012040
T2 - 4th Geomatics International Conference 2019, GeoICON 2019
Y2 - 21 August 2019 through 22 August 2019
ER -