Artificial intelligence (AI) technology has been gradually developed and matured since its birth in 1950s. It has been widely used in different fields of society, and the major space agencies have gradually applied it into the spa

Optical synthetic aperture technology is an effective way to increase the effective aperture of telescopes, enhance their resolutions, and improve their light-gathering capabilities. However, the technical difficulty of large-aper

Mounting large radius-to-thickness ratio beamsplitters for cryogenic space application requires a careful trade-off in stiffness and flexibility design. Both the cryogenic wavefront error and the survivability in launch vibration

The existing infrared small target detection technologies have some shortcomings in terms of target detection capability, background suppression capability, and real-time performance, which fails to meet practical needs. Tensor an

Synthetic aperture radar (SAR) image is not widely used in the field of change detection due to coherent spot noise, imaging geometric distortion, and the complexity of background information. This paper summarizes the current com

In the past decades, spatio-temporal fusion technology has provided an economical and efficient method to realize long-time series observation, but this method has a weak ability to retain structural information and low computatio

Accurate and efficient point cloud branch and foliage separation are essential for accurately calculating above-ground biomass and carbon stocks. However, current methods are computationally expensive and rely on priori knowledge

In the study area of the forest-grass ecotone in Weichang County, Hebei Province, spectral reflectance data of non-photosynthetic vegetation (NPV), bare soil (BS), and photosynthetic vegetation (PV) were utilized from spectral lib

With the rapid development of remote sensing technology, high-precision remote sensing image feature extraction has become increasingly crucial in fields such as geographic information science, urban planning, and environmental mo

Aiming at the problems of insufficient attention to detailed information such as small water bodies and water edges in remote sensing image water body extraction research, as well as poor water body connectivity, this paper propos

Aiming at the problem that feature information is easily lost and lacks attention to target features when the LinkNet network model performs road image segmentation tasks, a high resolution remote sensing image road extraction met

Aiming at the problem of low accuracy of traditional classification methods in identifying citrus planting spatial information, this paper proposes a county-level citrus planting spatial information extraction method combining mul

Ocean Lidar has the technical characteristics of strong water penetration, high vertical resolution and all-day observation, so it has great application potential in satellite ocean profile measurement. But the accurate measuremen

Forest canopy closure is an important factor in describing forest structure. The traditional remote sensing inversion empirical model of canopy closure has high requirements for ground sample data and has the problem of difficulty