Statistical method of remote sensing image application area based on graphic metadata

Tao Cheng; Xinyuan Gao; Xinyan Zheng; Shu Tao; Zhen Wang; Lei Ding; Chenxiang Liu

doi:10.1117/12.3048879

27 November 2024 Statistical method of remote sensing image application area based on graphic metadata

Tao Cheng, Xinyuan Gao, Xinyan Zheng, Shu Tao, Zhen Wang, Lei Ding, Chenxiang Liu

Author Affiliations +

Proceedings Volume 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024); 134020S (2024) https://doi.org/10.1117/12.3048879
Event: International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 2024, Zhengzhou, China

Abstract

Major nationwide monitoring projects usually involve the integration and analysis of a large number of satellite images. When counting the application area of large-scale remote sensing images covering the whole country, it is usually easy to take into account the overlapping coverage, invalid value coverage, and cloud coverage area, which makes the statistical results have redundancy problems. To address this problem, the paper proposes an optimal image screening model and a statistical method for remote sensing image application area based on graphical metadata. For the overlapping coverage regions. The optimal remote sensing image is selected through three factors: image spatial resolution, date difference between image photting time and a unified time point, and the proportion of effective coverage area of the image. The graphic metadata of polygon vector structure is used to record the spatial range and attribute information of each selected remote sensing image block, and based on which the actual application area of large-scale remote sensing images is calculated and counted. Experimental results showed that this method, through redundancy deduction, could accurately calculate the application area of remote sensing images at various spatial resolution levels and plotting time periods nationwide, which would provide data reference for overall planning and scientific decision-making of remote sensing image acquisition.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Tao Cheng, Xinyuan Gao, Xinyan Zheng, Shu Tao, Zhen Wang, Lei Ding, and Chenxiang Liu "Statistical method of remote sensing image application area based on graphic metadata", Proc. SPIE 13402, International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2024), 134020S (27 November 2024); https://doi.org/10.1117/12.3048879

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KEYWORDS

Remote sensing

Orthophoto maps

Statistical methods

Spatial resolution

Digital imaging

Image resolution

Image segmentation

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