Geometric Correction Analysis of Highly Distortion of Near Equatorial Satellite Images Using Remote Sensing and Digital Image Processing Techniques
- 1 Water Resources Management Engineering Department, Faculty of Water Resources Engineering, Al-Qasim Green University, Babylon, Iraq
- 2 Faculty of Engineering, Geospatial Information Science Research Centre, Department of Civil Engineering, University Putra Malaysia, Selangor, Malaysia
- 3 National Space Agency Malaysia (ANGKASA), Kementerian Sains, Teknologi dan Inovasi, Pusat Angkasa Negara, Selangor, Malaysia
- 4 Department of Civil Environmental and Natural Resources Engineering, Lulea University of Technology, Lulea, Sweden
Abstract
The Near-equatorial orbit (NEqO) satellite represent s 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 overcom ing 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.
- Mazlan, H.M., Mahallawy, M.N., Aisya, A.A., Samsudin, A., Xen, Q.Y., Maged, M. and Ahmad S.A. (2013) Geometric and radiometric evaluation of Razaksat Medium-Sized Aperture Camera Data. International Journal of Remote Sensing, 34, 3947-3967. https://doi.org/10.1080/01431161.2013.770581
- Toutin, T. (2004) Geometric Processing of Remote Sensing Images: Models, Algorithms and Methods. International Journal of Remote Sensing, 25, 1893-1924. https://doi.org/10.1080/0143116031000101611
- Wolnicwicz, W. (2004) Assessment of Geometric Accuracy of VHR Satellite Images. International Archives of Photogrammetry and Remote Sensing and Spatial Information Sciences, 34, 19-23.
- Schowengerdt, R.A. (1997) Remote Sensing, Models and Methods, for Image Processing. 2nd Edition, Academic Press, Cambridge.
- Montenbruck, O. and Gill, E. (2001) Satellite Orbits: Models, Methods and Applications. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-58351-3
- Rees, W.G. (2001) Physical Principles of Remote Sensing, 2nd Edition, Cambridge University Press, Cambridge. https://doi.org/10.1017/CBO9780511812903
- Lillesand, T.M. and Kiefer, R.W. (2003) Remote Sensing and Image Interpretation. 4rth Edition, John Wiley and Sons Inc., Singapore.
- Toutin, T. (2003) Error Tracking in IKONOS Geometric Processing Using a 3D Parametric Modeling. Photogrammetric Engineering and Remote Sensing, 69, 43-51. https://doi.org/10.14358/PERS.69.1.43
- Wu, A.M., Lee, Y.Y., Kuo, P. and Kao, R. (2003) ROCSAT-2 Imaging Planning and Scheduling. Presented at the 1st Taipei International Conference on Digital Earth, Taipei, 1-9.
- Hayder, D., Shattri, M., Noordin, A. and Biswajeet, P. (2015) Band-to-Band Registration Model for Near-Equatorial Earth Observation Satellite Images with the Use of Automatic Control Points Extraction. International Journal of Remote Sensing, 36, 2184-2200. https://doi.org/10.1080/01431161.2015.1034891
- 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
- Hayder, D., Hashim, A.H., Jawad, K.A. and Nadhir, A. (2020) An Optimal Approach for Land-Use/Land-Cover Mapping by Integration and Fusion of Multispectral Landsat OLI Images: Case Study in Baghdad, Iraq. Water, Air, & Soil Pollution, 231, Article No. 488. https://doi.org/10.1007/s11270-020-04846-x