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A Solar Trajectory Model for Multi-Spectral Image Correction of DOM from Long-Endurance UAV in Clear Sky

文献类型： 外文期刊

作者： Wu, Siyao 1 ; Nie, Ke 1 ; Lu, Xia 3 ; Fan, Wei 1 ; Zhang, Shengmao 1 ; Wang, Fei 1 ;

作者机构： 1.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Shanghai 200090, Peoples R China

2.Jiangsu Ocean Univ, Sch Marine Technol & Geomat, Lianyungang 222005, Peoples R China

3.Suzhou Univ Sci & Technol, Sch Geog Sci & Geomat Engn, Suzhou 215009, Peoples R China

关键词： multispectral imagery; reflectance; solar trajectory; UAV; long endurance

期刊名称：DRONES （ 影响因子：4.8； 五年影响因子：5.0 ）

ISSN：

年卷期： 2025 年 9 卷 3 期

页码：

收录情况： SCI

摘要： Extracting accurate surface reflectance from multispectral UAV (unmanned aerial vehicle) imagery is a fundamental task in remote sensing. However, most studies have focused on short-endurance UAVs, with limited attention given to long-endurance UAVs due to the challenges posed by dynamically changing incident radiative energy. This study addresses this gap by employing a solar trajectory model (STM) to accurately estimate incident radiative energy, thereby improving reflectance calculation precision. The STM method addresses the following key issues: The experimental results demonstrated that the root mean square error (RMSE) of the STM method in Shanghai was 15.80% compared to the standard reflectance, which is 51% lower than the downwelling light sensor (DLS) method and 37% lower than the traditional method. This indicates that the STM method provides results that are more accurate, aligning closely with standard values. In Tianjin, the RMSE was 24% lower than the DLS method and 65% lower than the traditional method. The STM effectively mitigates inconsistencies in incident radiative energy across different image strips captured by long-endurance UAVs, ensuring uniform reflectance accuracy in digital orthophoto maps (DOMs). The proportion of corrected reflectance errors within the ideal range (+/- 10%) increased by 24% compared to the histogram matching method. Furthermore, the optimal flight duration for long-endurance UAVs launched at noon was extended from 50 min to 150 min. In conclusion, this study demonstrates that applying the STM to correct multispectral imagery obtained from long-endurance UAVs significantly enhances reflectance calculation accuracy for DOMs, offering a practical solution for improving reflectance imagery quality under clear-sky conditions.

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