Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
This study investigates a new registration technique for remote sensing satellite images of different spatial resolutions. Existing optimization techniques assume that the accuracy of registration parameters changes by a multivariate normal form. However, when dealing with high-resolution images of highly heterogeneous land cover, the problem of no convergence can occur, this technique overcomes this problem by applying a Monte Carlo simulation. The results show a significant improvement in the correlation coefficients from R = 0.75 to R = 0.92 when a range of satellite images (Landsat_8 and Worldview 3) are used. When the registration results of multi-temporal Landsat_8 images of reduced resolution are compared with the registration of the original resolution images, the spatial accuracy witnessed a substantial improvement of 60% compared with visual registration. Although this technique may be relatively time-consuming compared with previous techniques, the results indicate that the procedure can produce a higher level of accuracy.
How to cite this article:
Marwah A. Hasan, Ahmed H. Alboabidallah and Falah H. Abed. Applying of Monte Carlo Simulation to Improved Subpixel Image to Image Registration.
DOI: https://doi.org/10.36478/jeasci.2021.258.263
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2021.258.263