|
|
|
|
|
Tao Tang, Yuting Cui, Rui Feng and Deliang Xiang
With the development of deep learning in the field of computer vision, convolutional neural network models and attention mechanisms have been widely applied in SAR image target recognition. The improvement of convolutional neural network attention in exi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Rui Wang, Jin Ben, Jianbin Zhou and Mingyang Zheng
Discrete global grid systems (DGGSs) are an emerging multiresolution 3D model used to integrate and analyze big earth data. The characteristic of multiresolution is usually realized by hierarchically subdividing cells on the sphere using certain refineme...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenhai Cheng, Qunying Zhang, Jiaming Dong, Haiying Wang and Xiaojun Liu
Resolution and mapping bandwidth are the two most important image performance indicators that reflect satellite synthetic aperture radar (SAR) imaging reconnaissance capability. The PRI-staggered signal can simultaneously achieve high resolution in azimu...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kimoon Lee, Dongjin Kim, Daewon Chung and Seonho Lee
This study explores optimizing Synthetic Aperture Radar (SAR) satellite constellation scheduling for multi-imaging missions in densely targeted areas using an in-house-developed Modified Dynamic Programming (MDP) algorithm. By employing Mixed-Integer Lin...
ver más
|
|
|
|
|
|