LRF-SRNet: Large-Scale Super-Resolution Network for Estimating Aircraft Pose on the Airport Surface.The introduction of various deep neural network architectures has greatly advanced aircraft pose estimation using high-resolution images.  To fill this gap, we propose a brand-new, end-to-end low-resolution aircraft pose estimate network (LRF-SRNet) to address the problem of estimating the pose of poor-quality airport surface surveillance aircraft images. 
LRF-SRNet
LRF-SRNet: Large-Scale Super-Resolution Network for Estimating Aircraft Pose on the Airport Surface.The introduction of various deep neural network architectures has greatly advanced aircraft pose estimation using high-resolution images.  To fill this gap, we propose a brand-new, end-to-end low-resolution aircraft pose estimate network (LRF-SRNet) to address the problem of estimating the pose of poor-quality airport surface surveillance aircraft images.  Specifically, to reconstruct high-resolution aircraft images, a super-resolution network (SRNet) is created. 
SRNet
In addition, an essential component termed the large receptive field block (LRF block) helps estimate the aircraft's pose. 
LRF block