The increasing availability of high-resolution satellite stereo imagery has enabled large-scale 3D reconstruction for urban morphology analysis and monitoring change. However, conventional semi-g ... Read More

The rapid advancement of advanced air mobility (AAM) and urban air mobility (UAM) has increased the demand for the precise localization of drones in complex urban environments, where global navig ... Read More

Multispectral scene understanding remains a critical sensing challenge: visible-spectrum (RGB) image sensors provide high-resolution color and texture cues but fail under poor illumination, while ... Read More

By combining nature-based solutions (NbS) global standards and Chinese engineering management paradigm, in this paper, we summarize the key points of the NbS criterion system in China’s project ... Read More

To address the limitations of traditional remote sensing methods, which often inadequately consider environmental parameters and result in limited accuracy for Chlorophyll-a (Chl-a) concentration ... Read More

The digital representation of Chinese timber beam-frame structures (CTBFS) is critical for heritage conservation and information sharing. However, existing historical building information modelin ... Read More

High-precision geological models in smart mines typically feature massive data volumes and highly complex topological structures. Consequently, traditional geometric slicing methods struggle to m ... Read More

Deep learning has considerably enhanced vegetation index prediction accuracy and efficiency, leading to a significant increase in academic publications across multiple domains. However, most exis ... Read More