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]
【中国新闻网】中国科学院航空遥感中心成立40周年 积累海量数据逾半共享应用