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Synthetic Aperture Radar (SAR) has significant applications in terrain mapping, environmental monitoring, disaster investigation and many other fields. Traditional SAR acquires two dimensional (2D) images of the observed scenarios, while interferometric SAR (InSAR) can acquire digital surface model (DSM, 2.5D images). However, in areas with steep terrain changes or complex infrastructures, there will be severe layover phenomenon, resulting in many targets being difficult to detect and interpret. SAR 3D imaging can solve this problem and significantly enhance the target recognition and 3D modeling capabilities. It has become an important trend in the current development of SAR technology. Currently, SAR 3D imaging techniques mainly utilize multi-incident-angle observations to construct a synthetic aperture in the third dimension, so as to obtain the third dimensional resolution ability. However, dozens of tomographic flights or multi-channel observations are required, leading to long data acquisition cycles or extremely sophisticated radar systems, which restrict its popularization.In recent years, advancements in device technology have well satisfied the computational power demands by the massive data processing, injecting new vitality into the fields of computer vision, computational electromagnetics and so on. Catching sight of this development trend, Professors Chibiao Ding and Xiaolan Qiu proposed the concept of "SAR microwave vision 3D imaging". The core of this concept is the combination of 3D imaging and image interpretation in an intelligent way. It proposes to extract 3D clues from 2D SAR images as prior information, thereby leveraging the reliance of SAR 3D imaging on multi-angle observations, achieving efficient and low-cost 3D imaging. Furthermore, it enhances our understanding of the scenario under consideration. SAR microwave vision 3D imaging pioneers a new direction in SAR 3D imaging, and it has also brought new inspiration to SAR imaging, SAR image interpretation and other aspects.Here we are delighted to organize this special topic on Microwave vision and SAR 3D imaging in National Science Open (NSO). The selected papers highlight significant progress and novel methodologies in microwave vision and SAR 3D imaging, paving the way for enhanced imaging radar sensing capabilities. This special topic features four papers that exemplify the diversity and depth of current research in this field.Phase unwrapping plays an important role in array 3D SAR imaging. Zhang et al. addresses the issue of
Synthetic Aperture Radar (SAR) has significant applications in terrain mapping, environmental monitoring, disaster investigation and many other fields. Traditional SAR acquires two dimensional (2D) images of the observed scenarios, while interferometric SAR (InSAR) can acquire digital surface model (DSM, 2.5D images). However, in areas with steep terrain changes or complex infrastructures, there will be severe layover phenomenon, resulting in many targets being difficult to detect and interpret. SAR 3D imaging can solve this problem and significantly enhance the target recognition and 3D modeling capabilities. It has become an important trend in the current development of SAR technology. Currently, SAR 3D imaging techniques mainly utilize multi-incident-angle observations to construct a synthetic aperture in the third dimension, so as to obtain the third dimensional resolution ability. However, dozens of tomographic flights or multi-channel observations are required, leading to long data acquisition cycles or extremely sophisticated radar systems, which restrict its popularization.In recent years, advancements in device technology have well satisfied the computational power demands by the massive data processing, injecting new vitality into the fields of computer vision, computational electromagnetics and so on. Catching sight of this development trend, Professors Chibiao Ding and Xiaolan Qiu proposed the concept of "SAR microwave vision 3D imaging". The core of this concept is the combination of 3D imaging and image interpretation in an intelligent way. It proposes to extract 3D clues from 2D SAR images as prior information, thereby leveraging the reliance of SAR 3D imaging on multi-angle observations, achieving efficient and low-cost 3D imaging. Furthermore, it enhances our understanding of the scenario under consideration. SAR microwave vision 3D imaging pioneers a new direction in SAR 3D imaging, and it has also brought new inspiration to SAR imaging, SAR image interpretation and other aspects.Here we are delighted to organize this special topic on Microwave vision and SAR 3D imaging in National Science Open (NSO). The selected papers highlight significant progress and novel methodologies in microwave vision and SAR 3D imaging, paving the way for enhanced imaging radar sensing capabilities. This special topic features four papers that exemplify the diversity and depth of current research in this field.Phase unwrapping plays an important role in array 3D SAR imaging. Zhang et al. addresses the issue of
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