Hayder, D., Shattri, M., Noordin, A., Biswajeet, P. and Nadhir, A., (2020) Automatic Fast and Robust Technique to Refine Extracted SIFT Key Points for Remote Sensing Images. Journal of Civil Engineering and Architecture, 14, 339-350.
https://doi.org/10.17265/1934-7359/2020.06.005

has been cited by the following article:

• 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.