@article{MAKHILLJEAS202116819549,
    title = {Applying of Monte Carlo Simulation to Improved Subpixel Image to Image Registration},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {16},
    number = {8},
    pages = {258-263},
    year = {2021},
    issn = {1816-949x},
    doi = {jeasci.2021.258.263},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2021.258.263},
    author = {Falah,Marwah and},
    keywords = {landsat,registration,Image processing,worldview},
    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.}
    }