News Categories

During the 2026 China Space Conference, CAS Xiguang Aerospace and its Zhejiang Laboratory signed a strategic cooperation agreement to focus on technological breakthroughs in the field of aerospace information, promote the upgrade of quantitative hyperspectral remote sensing intelligent computing constellations, help commercial aerospace move from single-satellite intelligence to constellation intelligence, and empower the development of multiple industries.

The 2026 China Space Day kicked off in Chengdu. CAS Xiguang Aerospace participated in the exhibition, showcasing its Xiguang series satellites, full-spectrum hyperspectral payloads, and onboard AI computing technology. The exhibition also featured satellite achievements such as the Wuyang Constellation, Tanli, and Xiamen Science and Technology No. 1 satellites, the release of its quantitative hyperspectral remote sensing intelligent computing constellation, and the establishment of an academician workstation and strategic industry cooperation.

The CAS Xiguang Aerospace Hyperspectral Application Column: Based on multiple current national standards, this column systematically elaborates on the application paths and cases of hyperspectral, InSAR, and UAV remote sensing in various stages of mineral exploration, mine construction, mining production, and closed-mine ecological restoration. It analyzes the technological advantages, limitations, and intelligent development trends, providing a reference for sustainable mineral management.

During the 2026 China Space Conference, CAS Xiguang Aerospace released its Quantitative Hyperspectral Remote Sensing Intelligent Computing Constellation, which integrates hyperspectral remote sensing and on-board intelligent computing technologies to achieve a leap from "space sensing and ground computing" to "space data and space computing". It plans to form a network of 158 satellites, and together with Zhejiang Lab, it will empower efficient applications in multiple industries and seize the space computing power track.

Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD Hyperspectral Application Column: Based on Sentinel-2 multispectral data and combined with 19 measured sampling points, sensitive bands were screened through Pearson correlation analysis and a statistical regression model was constructed to complete the inversion of chlorophyll a concentration in Hongze Lake, providing technical support for lake eutrophication monitoring.

The CAS Xiguang Aerospace Hyperspectral Applications column analyzes Clay's open-source Earth observation basic model, introduces its "dynamic embedding + spatiotemporal coding + MAE backbone" framework, and discusses its applications in remote sensing segmentation, land cover mapping and other scenarios, as well as its advantages in small sample and cross-regional migration.

The CAS Xiguang Aerospace Hyperspectral Application Column analyzes the harmful effects of baseline drift in interferometric imaging systems, compares differential filtering and EMD methods, and focuses on introducing an efficient and stable polynomial fitting removal scheme to help with accurate spectral reconstruction.

Using the RVUS automatic calibration field as the test site, and combining the MODTRAN5 atmospheric radiative transfer model with the reflectivity basis method, a field calibration experiment of a spaceborne hyperspectral camera was carried out to obtain the absolute radiometric calibration coefficients for each band, verify the effectiveness of the calibration method, and provide an efficient way for on-orbit calibration of commercial remote sensing satellites.

Xi'an Institute of Optics and Precision Mechanics CAS Aerospace Science and Technology Group Co.,LTD uses hyperspectral satellites as "sky eyes" in space to identify mineral spectral fingerprints and alteration mineral combinations, covering the entire mineral exploration process. The Xiguang series satellites (Tanli) enable data-driven and intelligent mineral exploration, helping the mining industry to conduct efficient and accurate exploration.