焦泽坤1, 2,
彭凌霄3,
陈健堃2,
郭嘉逸2,
周良将1, 2,
陈龙永1, 2,
丁赤飚1, 2,,,
徐丰4,
董秋雷5,
吕守业6
1.微波成像技术国家级重点实验室 北京 100190
2.中国科学院空天信息创新研究院 北京 100190
3.苏州空天信息研究院 苏州 215123
4.复旦大学 上海 200433
5.中国科学院自动化研究所 北京 100190
6.北京市遥感信息研究所 北京 100192
基金项目:国家自然科学基金重大项目(61991420, 61991421, 61991424)
详细信息
作者简介:仇晓兰(1982–),女,中国科学院空天信息创新研究院研究员,博士生导师。主要研究领域为SAR成像处理、SAR图像理解,IEEE高级会员、IEEE地球科学与遥感快报副主编、雷达学报青年编委
丁赤飚(1969–),男,研究员,博士生导师。主要从事合成孔径雷达、遥感信息处理和应用系统等领域的研究工作,先后主持多项国家重点项目和国家级遥感卫星地面系统工程建设等项目,曾获国家科技进步奖一等奖、二等奖,国家发明奖二等奖等奖励
通讯作者:仇晓兰 xlqiu@mail.ie.ac.cn
丁赤飚 cbding@mail.ie.ac.cn
责任主编:张群 Corresponding Editor: ZHANG Qun中图分类号:TN957.52
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被引次数:0
出版历程
收稿日期:2021-08-20
修回日期:2021-08-24
网络出版日期:2021-08-28
SARMV3D-1.0: Synthetic Aperture Radar Microwave Vision 3D Imaging Dataset
QIU Xiaolan1, 2, 3,,,JIAO Zekun1, 2,
PENG Lingxiao3,
CHEN Jiankun2,
GUO Jiayi2,
ZHOU Liangjiang1, 2,
CHEN Longyong1, 2,
DING Chibiao1, 2,,,
XU Feng4,
DONG Qiulei5,
LYU Shouye6
1. National Key Lab of Microwave Imaging Technology, Beijing 100190, China
2. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
3. Suzhou Aerospace Information Research Institute, Suzhou 215123, China
4. Fudan University, Shanghai 200433, China
5. Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
6. Beijing Institute of Remote Sensing Information, Beijing 100192, China
Funds:The National Natural Science Foundation of China (NSFC)(61991420, 61991421, 61991424)
More Information
Corresponding author:QIU Xiaolan, xlqiu@mail.ie.ac.cn;DING Chibiao, cbding@mail.ie.ac.cn
摘要
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。
关键词:SAR三维成像/
微波视觉/
SAR数据集/
SAR图像语义分割/
阵列干涉SAR
Abstract: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.
Key words:SAR 3D imaging/
Microwave vision/
SAR dataset/
SAR image semantic segmentation/
Array InSAR
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