首页|无人机高光谱遥感影像校正与叶绿素a反演研究

无人机高光谱遥感影像校正与叶绿素a反演研究

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无人机高光谱遥感是水质监测研究中的一个重要手段,而太阳耀斑作为无人机高光谱遥感影像中的常见现象,对水质监测产生严重影响.本文首先通过水体指数法去除了非水体区域,进而基于在近红外波段处离水辐射量近似为零的理论基础对影像中的太阳耀斑进行了校正,并在此基础上反演了叶绿素a浓度.结果表明,耀斑校正效果良好,影像纹理特征与光谱特征都得到了较好的保留与恢复,叶绿素a的反演效果也相对较好.
Study on Calibration and Chlorophyll a Inversion of UAV Hyperspectral Remote Sensing Images
UAV hyperspectral remote sensing is an important means in the study of water quality monitoring.As a common phenomenon in UAV hyperspectral remote sensing images,solar flares have a serious impact on water quality monitoring.In this paper,the non-water region is removed by the water index method,and then the solar flare in the image is corrected based on the theory that the radiation from water in the near infrared band is approximately zero,and the chlorophyll a concentration is retrieved based on this.The results show that the flare correction effect is good,the image texture features and spectral features are well preserved and restored,and the chlorophyll a inversion effect is relatively good.

UAV hyperspectrumsolar flareschlorophyll a inversion

张忠婷、陈文惠、何欢

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福建师范大学地理科学学院,福建福州

无人机高光谱 太阳耀斑 叶绿素a反演

福建省科技计划项目福建省环保科技计划项目

2020Y00702022R001

2024

科学技术创新
黑龙江省科普事业中心

科学技术创新

影响因子:0.842
ISSN:1673-1328
年,卷(期):2024.(4)
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