结合典型地物光谱的珠海一号高光谱数据辐射与大气一体化校正方法

doi:10.13474/j.cnki.11-2246.2025.0109

测绘通报 ›› 2025, Vol. 0 ›› Issue (1): 52-58.doi: 10.13474/j.cnki.11-2246.2025.0109

结合典型地物光谱的珠海一号高光谱数据辐射与大气一体化校正方法

李玉华^1,2,3,4, 邓孺孺^1,2,3,4, 李嘉怡^1,2,3,4, 郭昱^1,2,3,4, 李依玲^1,2,3,4, 旷志渊^1,2,3,4, 谷钰泽^1,2,3,4, 梁业恒^1,2,3,4

1. 中山大学地理科学与规划学院, 广东广州 511400;
2. 广东省水环境遥感监测工程技术研究中心, 广东广州 510275;
3. 广东省城市化与地理环境空间模拟重点实验室, 广东广州 510275;
4. 南方海洋科学与工程广东省实验室(珠海), 广东珠海 519082

收稿日期:2024-05-24 发布日期:2025-02-09
通讯作者: 邓孺孺。E-mail:esdrr@mail.sysu.edu.cn
作者简介:李玉华(1998—),女,硕士生,主要研究方向为水质遥感。E-mail:liyh527@mail2.sysu.edu.cn
基金资助:
国家自然科学基金(41901352;41071230);广东省省级科技计划(2017B020216001);广东省基础与应用基础研究基金(2020A1515010780;2022B1515130001);广州市科技计划(202102020454)

Integrated radiometric and atmospheric calibration method of orbita hyperspectral images combined with typical ground object spectra

LI Yuhua^1,2,3,4, DENG Ruru^1,2,3,4, LI Jiayi^1,2,3,4, GUO Yu^1,2,3,4, LI Yiling^1,2,3,4, KUANG Zhiyuan^1,2,3,4, GU Yuze^1,2,3,4, LIANG Yeheng^1,2,3,4

1. School of Geography and Planning, Sun Yat-Sen University, Guangzhou 511400, China;
2. Guangdong Engineering Research Center of Water Environment Remote Sensing Monitoring, Guangzhou 510275, China;
3. Guangdong Provincial Key Laboratory of Urbanization and Geo-simulatio, Guangzhou 510275, China;
4. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China

Received:2024-05-24 Published:2025-02-09

摘要/Abstract

摘要： 对于高光谱数据而言,由于传感器工作波段较窄,感光能量小,且各个波段在成像过程中产生的传感器辐射误差与大气影响交织在一起,导致单方面考虑大气因素的纠正方法难以获得高精度的结果。因此,本文从辐射传输原理出发,以珠海一号高光谱数据为例,结合高、低反射率两种典型地物,提出了一种面向高光谱数据的辐射与大气一体化纠正模型,并将其校正结果与FLAASH、QUAC、EMPL方法进行比较,同时选择裸土、植被和水体三类典型地物进行精度分析。结果表明,本文校正结果能够有效修正大气散射的影响,校正结果相关系数均在0.9以上,光谱角均位于13°以内,均方根误差最高不超过0.15,校正结果稳定,尤其在低反射水体方面,效果远优于其他大气校正方法。

关键词: 大气校正, 高光谱数据, 珠海一号, 辐射与大气一体化校正

Abstract: For hyperspectral data, due to the narrow sensor operating band, small sensing energy, and the various bands in the imaging process to produce the sensor radiation error and atmospheric effects are intertwined, resulting in unilateral consideration of the atmospheric factors of the correction method is difficult to obtain high-precision results. Therefore, from the principle of radiative transfer, this paper takes the Zhuhai-1 hyperspectral data as an example, combines two typical features of high and low reflectance, proposes an integrated radiation and atmosphere correction model for hyperspectral data, and compares its correction results with FLAASH, QUAC and EMPL methods, and at the same time, selects three types of typical features, namely, bare soil, vegetation and water bodies, for accuracy analysis. The results show that the correction results in this paper can effectively correct the effect of atmospheric scattering, the correlation coefficients of the correction results are all above 0.9, the spectral angle SAM are all located within 13°, the maximum root mean square error RMSE is not more than 0.15, and the correction results are stable, especially in the case of low-reflective water bodies, and the effect is much better than other atmospheric correction methods.

Key words: atmospheric correction, hyperspectral data, OHS/Zhuhai-1, integrated radiation and atmosphere correction

中图分类号:

P237

李玉华, 邓孺孺, 李嘉怡, 郭昱, 李依玲, 旷志渊, 谷钰泽, 梁业恒. 结合典型地物光谱的珠海一号高光谱数据辐射与大气一体化校正方法[J]. 测绘通报, 2025, 0(1): 52-58.

LI Yuhua, DENG Ruru, LI Jiayi, GUO Yu, LI Yiling, KUANG Zhiyuan, GU Yuze, LIANG Yeheng. Integrated radiometric and atmospheric calibration method of orbita hyperspectral images combined with typical ground object spectra[J]. Bulletin of Surveying and Mapping, 2025, 0(1): 52-58.

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结合典型地物光谱的珠海一号高光谱数据辐射与大气一体化校正方法

Integrated radiometric and atmospheric calibration method of orbita hyperspectral images combined with typical ground object spectra

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