dc.contributor.author |
Thinzar, Cho
|
|
dc.contributor.author |
Aye, Nyein
|
|
dc.date.accessioned |
2019-10-25T07:29:28Z |
|
dc.date.available |
2019-10-25T07:29:28Z |
|
dc.date.issued |
2015-02-05 |
|
dc.identifier.uri |
http://onlineresource.ucsy.edu.mm/handle/123456789/2336 |
|
dc.description.abstract |
In the field of natural disaster
management, storm detection, forecasting the
weather condition and change detection are
occupied as essential role. The storm direction
detection is provided to manage and to prevent the
possible attacked region of the land. The storm
regions are extracted by the feature extraction
method based on Morphological processing and
the color segmentation approach based on the
intensity transformation and color spaces. The
movement of the interested cloud region are
estimated by the modified sub pixel registration
approach. The direction of the storm can be tracked
from these computations. Especially, the attacked
region of Myanmar Land is forecasted from
multi-date satellite images. The digital image
correlation method is developed based on the subpixel accuracy method. According to the
experiment and its result, the proposed method
work effectively. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
Thirteenth International Conference On Computer Applications (ICCA 2015) |
en_US |
dc.subject |
Connected neighborhood |
en_US |
dc.subject |
digital image correlation |
en_US |
dc.subject |
sub-pixel registration algorithm |
en_US |
dc.title |
Prediction the Direction of Storm Based on the Sub Pixel Registration |
en_US |
dc.type |
Article |
en_US |