Core Insights - The China Academy of Aerospace Aerodynamics (CAAA) is celebrating the 40th anniversary of its Aerospace Remote Sensing Center, which has accumulated nearly 5PB of data products over the past four decades, with over half of this data now shared for applications [6][7][8] Group 1: Data Accumulation and Sharing - The Aerospace Remote Sensing Center has been operational since 1985 and has developed a significant amount of high-quality aerial remote sensing data, which is showcased at the 23rd China Remote Sensing Conference [6][7] - The center operates a national major scientific infrastructure with two award-winning remote sensing aircraft and two new-type remote sensing aircraft, covering nearly 30 provincial-level administrative regions [6][7] Group 2: Data Products and Applications - The released remote sensing data products include high-resolution airborne multi-dimensional synthetic aperture radar (SAR) land cover classification, multi-band fully polarized airborne SAR crop classification, and airborne multi-angle optical images with laser point clouds [7][8] - The high-resolution airborne multi-dimensional SAR land cover classification dataset has been shown to effectively improve classification accuracy [7] - The multi-band fully polarized airborne SAR crop classification dataset demonstrates the feasibility of complementary fusion strategies in agricultural remote sensing [7] - The airborne multi-angle optical images and laser point cloud dataset serves as a high-precision geometric reference for applications in 3D reconstruction, navigation, and digital twin technologies [7][8] Group 3: Unique Features of Data Sets - The typical scene high-resolution optical and fully polarized SAR multi-modal characteristic dataset is the only sub-meter level optical remote sensing image generation dataset based on fully polarized SAR, useful for multi-source remote sensing image restoration [8] - The Aerospace Remote Sensing Center has created over 30 typical datasets based on existing aerial remote sensing data, which are shared through a national data sharing portal [8]

Core Insights - The Chinese Academy of Sciences Aerospace Remote Sensing Center has released significant data achievements marking its 40th anniversary, showcasing the development of aerial remote sensing data acquisition and application in China [1][2] Group 1: Data Achievements - The Aerospace Remote Sensing Center has accumulated nearly 5PB of data products over 40 years, with over half of this data already shared and applied [1] - The center operates a national major scientific infrastructure consisting of 4 remote sensing aircraft, which have covered nearly 30 provinces and regions in China [1] Group 2: Data Applications - The released datasets include high-resolution airborne multi-dimensional Synthetic Aperture Radar (SAR) land cover classification and multi-band fully polarized SAR for detailed agricultural classification, enhancing classification accuracy [2] - The datasets are designed for various applications, including land cover classification, three-dimensional reconstruction, and image generation and restoration, demonstrating their multi-modal, high-resolution, and high-precision attributes [1][2] Group 3: Data Sharing and Accessibility - The Aerospace Remote Sensing Center has created over 30 typical datasets based on existing aerial remote sensing data, which are made available to the public through a data sharing portal [2]

其中，高分辨率机载多维度SAR地物分类数据集，可用于地物分类方法研究，实验验证表明该数据 集可有效提升地物的分类精度。多波段全极化机载SAR农作物精细分类数据集，具有波段丰富、极化完 备、覆盖区域典型等特点，验证了多波段极化特征互补融合策略在农业遥感领域的可行性，可有效支撑 其在农业遥感领域的深度应用。机载多角度光学图像与激光点云数据集是首个亚米级遥感新视角智能生 成数据集，可为三维重建、导航定位、数字孪生等多领域应用提供高精度几何基准参考和训练数据源。 目前，中国科学院航空遥感中心已基于现有航空遥感数据制作完成30余个典型数据集，主要通过国 家对地观测科学数据中心航空遥感数据资源分中心的数据共享门户网站向社会开放共享。 此次大会发布了高分辨率机载多维度合成孔径雷达（SAR）地物分类、多波段全极化机载SAR农作 物精细分类、机载多角度光学图像与激光点云、典型场景高分光学与SAR全极化多模态特性等典型数据 集，兼具多模态、高分辨率、高精度等属性，将在地物分类、三维重建、图像生成及修复等领域发挥重 要作用。 科技日报北京11月30日电 （记者陆成宽）记者11月30日从中国科学院空天信息创新研究院获悉， 在第二十三 ...

中新网北京11月30日电 (记者 孙自法)中国科学院空天信息创新研究院(空天院)11月30日在北京向媒体发 布信息说，致力打造成为国家级空中实验室的中国科学院航空遥感中心2025年迎来成立40周年，其40年 来积累近5PB(PB，拍字节，1PB=1024TB或2的50次方字节)的海量数据产品，超过一半已实现共享应 用。 中国科学院航空遥感中心任务类型覆盖应急监测、自然资源、科学试验、载荷研发等方面，获取方式完 成由单一类型到多模态数据协同的跨越，相关数据已广泛服务中外70余家单位，技术水平达到国内领 先、国际先进。 这次发布的航空遥感数据产品，包括高分辨率机载多维度合成孔径雷达(SAR)地物分类、多波段全极化 机载SAR农作物精细分类、机载多角度光学图像与激光点云、典型场景高分光学与SAR全极化多模态特 性等典型数据集，并兼具多模态、高分辨率、高精度等属性，将在地物分类、三维重建、图像生成及修 复等领域发挥重要作用。 发布的机 载多角度光学图像(右)与激光点云(左)数据集。中国科学院空天院 供图 其中，高分辨率机载多维度SAR地物分类数据集，可用于地物分类方法研究，实验验证表明该数据集可 有效提升地物的分类精 ...