多模遥感立体信息获取发展现状与展望-航天遥感图像智能处理与分析

doi:10.7527/S1000-6893.2026.32870

Abstract

Abstract: Remote sensing stereoscopic information can comprehensively and accurately characterize the 3D multidimensional attribute information of observed scenes or targets, demonstrating significant application potential in fields such as crop phenotype extraction, vegetation biomass estimation, and military target reconnaissance. With the rapid advancement of remote sensing science, sensor technology, and artificial intelligence, the acquisition of remote sensing stereoscopic information has transitioned into a multi-platform collaborative, multi-sensor fusion, and multivariate data processing paradigm. Existing reviews primarily focus on relatively singular platforms, sensors, or data processing modalities, lacking comprehensive overviews of remote sensing stereoscopic information acquisition across diverse modes. Based on this, this paper systematically summarizes the development status of multi-modal remote sensing stereoscopic information acquisition from the perspectives of space-air-ground multi-platform collaboration, image-spectral-point cloud multi-sensor fusion, and 3D reconstruction-heterogeneous registration multivariate data processing, while also exploring potential future research directions in Multi-Modal Remote Sensing Stereoscopic Information Acquisition field.

Key words: stereoscopic information acquisition, multi-modal remote sensing, multi-platform collaboration, multi-sensor fusion, 3D reconstruction, heterogeneous registration

CLC Number:

V19
TP79

References

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Development Status and Prospects of Multi-Modal Remote Sensing Stereoscopic Information Acquisition

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