TY  - JOUR
T1  - Applying of Monte Carlo Simulation to Improved Subpixel Image to Image Registration
AU - H. Abed, Falah AU - A. Hasan, Marwah AU - H. Alboabidallah, Ahmed 
JO  - Journal of Engineering and Applied Sciences
VL  - 16
IS  - 8
SP  - 258
EP  - 263
PY  - 2021
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2021.258.263
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2021.258.263
KW  - landsat
KW  -registration
KW  -Image processing
KW  -worldview
AB  - 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.
ER  -