14 citations · 60 across the 7 of their papers we have counts for
3 papers · 1 filter
Airplane Detection Based on Mask Region Convolution Neural Network
W. T. Alshaibani, Mustafa Helvaci, Ibraheem Shayea +1
Addressing airport traffic jams is one of the most crucial and challenging tasks in the remote sensing field, especially for the busiest airports. Several solutions have been emplo…
Airplane Type Identification Based on Mask RCNN and Drone Images
W. T Alshaibani, Mustafa Helvaci, Ibraheem Shayea +3
For dealing with traffic bottlenecks at airports, aircraft object detection is insufficient. Every airport generally has a variety of planes with various physical and technological…
Airplane Type Identification Based on Mask RCNN; An Approach to Reduce Airport Traffic Congestion
WT Al-Shaibani, Mustafa Helvaci, Ibraheem Shayea +1
One of the most difficult jobs in remote sensing is dealing with traffic bottlenecks at airports. This fact has been confirmed by several studies attempting to resolve this issue.…