VASTDATA(SH:603138) Zhong Guo Xin Wen Wang·2025-11-30 10:52Core Insights - The Chinese Academy of Sciences Aerospace Information Innovation Research Institute announced the establishment of a national-level aerial laboratory, with the Aerospace Remote Sensing Center celebrating its 40th anniversary in 2025, having accumulated nearly 5PB of data products, over half of which are shared and applied [1][3]. Group 1: Data Accumulation and Sharing - The Aerospace Remote Sensing Center has operated with two award-winning remote sensing aircraft and two new remote sensing aircraft, covering nearly 30 provincial-level administrative regions and accumulating close to 5PB of data products, with more than half already shared for application [3]. - The center's data products include high-resolution airborne multi-dimensional synthetic aperture radar (SAR) land cover classification and multi-band fully polarized airborne SAR crop classification, which are crucial for various applications [3][5]. Group 2: Technological Advancements - The center's tasks cover emergency monitoring, natural resources, scientific experiments, and payload development, showcasing a transition from single-type data to multi-modal data collaboration, achieving domestic leadership and international advancement in technology [3]. - The high-resolution airborne multi-dimensional SAR land cover classification dataset has been shown to significantly enhance classification accuracy, while the multi-band fully polarized airborne SAR crop classification dataset supports deep applications in agricultural remote sensing [5][7]. Group 3: Data Applications - The airborne multi-angle optical images and laser point cloud dataset is the first sub-meter level remote sensing dataset generated from a new perspective, providing high-precision geometric reference and training data for applications in 3D reconstruction, navigation, and digital twins [5]. - The typical scene high-resolution optical and SAR fully polarized multi-modal characteristic dataset is currently the only sub-meter level optical remote sensing image generation dataset based on fully polarized SAR, useful for multi-source remote sensing image restoration [7][8].