摘要
三维成像是合成孔径雷达技术发展的前沿趋势之一,目前的SAR三维成像体制主要包括层析和阵列干涉,但面临数据采集周期长或系统过于复杂的问题,为此该文提出了SAR微波视觉三维成像的新技术思路,即充分挖掘利用SAR微波散射机制和图像视觉语义中蕴含的三维线索,并将其与SAR成像模型有效结合,以显著降低SAR三维成像的系统复杂度,实现高效能、低成本的SAR三维成像。为推动SAR微波视觉三维成像理论技术的发展,在国家自然科学基金重大项目支持下,拟构建一个比较完整的SAR微波视觉三维成像数据集。该文概述了该数据集的构成和构建规划,并给出了第一批发布数据(SARMV3D-1.0)的组成和信息描述方式、数据集制作的方法,为该数据集的共享和应用提供支撑。
Three-dimensional(3D)imaging is one of the leading trends in the development of Synthetic Aperture Radar(SAR)technology.The current SAR 3D imaging system mainly includes tomography and array interferometry,both with drawbacks of either long acquisition cycle or too much system complexity.Therefore,a novel framework of SAR microwave vision 3D imaging is proposed,which is to effectively combine the SAR imaging model with various 3D cues contained in SAR microwave scattering mechanism and the perceptual semantics in SAR images,so as to significantly reduce the system complexity,and achieve high-efficiency and low-cost SAR 3D imaging.In order to promote the development of SAR microwave vision 3D imaging theory and technology,a comprehensive SAR microwave vision 3D imaging dataset is planned to be constructed with the support of NSFC major projects.This paper outlines the composition and construction plan of the dataset,and gives detailed composition and information description of the first version of published data and the method of making the dataset,so as to provide some helpful support for SAR community.
作者
仇晓兰
焦泽坤
彭凌霄
陈健堃
郭嘉逸
周良将
陈龙永
丁赤飚
徐丰
董秋雷
吕守业
QIU Xiaolan;JIAO Zekun;PENG Lingxiao;CHEN Jiankun;GUO Jiayi;ZHOU Liangjiang;CHEN Longyong;DING Chibiao;XU Feng;DONG Qiulei;LYU Shouye(National Key Lab of Microwave Imaging Technology,Beijing 100190,China;Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100190,China;Suzhou Aerospace Information Research Institute,Suzhou 215123,China;Fudan University,Shanghai 200433,China;Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;Beijing Institute of Remote Sensing Information,Beijing 100192,China)
出处
《雷达学报（中英文）》
CSCD
北大核心
2021年第4期485-498,共14页
Journal of Radars
基金
国家自然科学基金重大项目(61991420,61991421,61991424)。
