Research on target recognition technology for low resolution dim spot images
In response to the demand of the new generation of LiDAR for ultra fast detection,detection,and recognition of long-distance and high-speed moving targets,and to solve the problem of low image resolution caused by the changing natural envi-ronment,dim targets,and high-speed motion,traditional optics and networks cannot achieve high-precision recognition of targets.Therefore,a deep level contour recognition network LRDSI-DLCRN for low resolution dim spot images is proposed,The network in-troduces a global weight encoding module and uses sub pixel convolution for upsampling,enriching the correlation of edge struc-ture features at different levels.The performance on the public dataset PASCAL VOC 2012 and the real environment collected Spotcraf dataset is superior to other popular algorithms.
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