Falah  H. Abed, Marwah  A. Hasan, Ahmed  H. Alboabidallah, 
    Applying of Monte Carlo Simulation to Improved Subpixel Image to Image Registration,
    Journal of Engineering and Applied Sciences,
    Volume 16,Issue 8,
    2021,
    Pages 258-263,
    ISSN 1816-949x,
    jeasci.2021.258.263,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2021.258.263)
    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.
    Keywords: landsat;registration;Image processing;worldview