TITLE:
Geometric Correction Analysis of Highly Distortion of Near Equatorial Satellite Images Using Remote Sensing and Digital Image Processing Techniques
AUTHORS:
Hayder Dibs, Shattri Mansor, Noordin Ahmad, Nadhir Al-Ansari
KEYWORDS:
Near Equatorial Satellite, Geometric Correction, Automatic Extraction of CPs, RI-SIFT, Sum of Absolute Difference
JOURNAL NAME:
Engineering,
Vol.14 No.1,
January
6,
2022
ABSTRACT: The Near-equatorial orbit (NEqO) satellite represents a new generation of optical
satellite images characterized by nonlinear distortion when captured.
Conventional modeling techniques are insufficient to overcome the geometric
distortion in these satellite images. This study proposes a new methodology for
overcoming the geometric distortion of the NEqO images. The data used are obtained
from RazakSAT and SPOT-5 satellite images in Malaysia. The method starts with
applying the RI-SIFT algorithm to extract control points (CPs) automatically.
These CPs are used to solve for the transformation parameters of the geometric
correction model by applying spline transformations. The result is verified through
statistical comparison: 1) geometric correction on the RazakSAT image is
performed with Spot satellite image with using first-order polynomial
trans-formation. 2) Then calculate the root mean square error (RMSE). 3) Compare the calculated
RMSE with that obtained from the first step with that of the proposed method.
The RMSE value of the geometric corrections using the proposed method was 7.08 ×
10−9 m. The proposed method provides promising results.