融合光谱阈值与图像技术的静止卫星夜间云检测方法

doi:10.13474/j.cnki.11-2246.2024.0112

测绘通报 ›› 2024, Vol. 0 ›› Issue (1): 72-76.doi: 10.13474/j.cnki.11-2246.2024.0112

融合光谱阈值与图像技术的静止卫星夜间云检测方法

文刚¹, 周仿荣¹, 马仪¹, 王一帆¹, 王国芳¹, 马御棠¹, 朱龙昌¹, 李春明², 吴磊²

1. 电力遥感技术联合实验室(南方电网公司云南电网电力科学研究院), 云南昆明 650217;
2. 苏州深蓝空间遥感技术有限公司, 江苏苏州 215505

收稿日期:2023-09-19 出版日期:2024-01-25 发布日期:2024-01-30
作者简介:文刚(1992—),男,硕士,工程师,研究方向为输电线路防灾减灾与线路运维管理。E-mail:1192381484@qq.com
基金资助:
云南省重大科技专项(202202AD080010)

Geostationary satellite nighttime cloud detection method by fusing spectral threshold and image techniques

WEN Gang¹, ZHOU Fangrong¹, MA Yi¹, WANG Yifan¹, WANG Guofang¹, MA Yutang¹, ZHU Longchang¹, LI Chunming², WU Lei²

1. Joint Laboratory of Power Remote Sensing Technology(Electric Power Research Institute, Yunnan Power Grid Company Ltd., China Southern Power Grid), Kunming 650217, China;
2. Suzhou Deep Blue Space Remote Sensing Technology Co., Ltd., Suzhou 215505, China

Received:2023-09-19 Online:2024-01-25 Published:2024-01-30

摘要/Abstract

摘要： 针对夜间云检测问题,本文基于静止气象卫星Himawari-8影像数据,分析了云像元光谱特征与图像特征,提出了融合光谱阈值与图像技术的静止卫星夜间云检测方法,实现了静止卫星夜间云的快速、准确检测。利用MODIS云产品和CALIPSO雷达数据,对云检测结果进行定性分析与定量验证。结果表明: ①云检测结果与MODIS的云产品MYD06分布基本一致; ②算法夜间平均云检测精度达到80.3%; ③不同季节夜间的云检测精度随季节变化较明显,夏季最高达到83.3%,可以区分不同季节夜间的云与非云区域。因此,融合光谱阈值与图像技术的静止卫星夜间云检测方法能有效实现夜间云检测,为夜间云检测应用提供了新思路。

关键词: 夜间云检测, 静止卫星, 光谱特征, 图像技术

Abstract: To address the problem of nighttime cloud detection, based on the geostationary meteorological satellite Himawari-8 image data, we analyze the spectral characteristics of cloud image elements and image features, and propose a geostationary satellite nighttime cloud detection method that integrates spectral thresholding and image technology, realizing the rapid and accurate detection of geostationary satellite nighttime clouds. Using MODIS cloud products and CALIPSO radar data, the cloud detection results are qualitatively analyzed and quantitatively verified. The results show that:① The cloud detection results are basically consistent with the distribution of MODIS's cloud product MYD06;② The algorithm's average cloud detection accuracy at night reaches 80.3%;③ The cloud detection accuracy at night in different seasons varies more obviously with the seasons, and reaches up to 83.3% in summer, which can distinguish between cloudy and non-cloudy regions at night in different seasons. Therefore, the geostationary satellite nighttime cloud detection method that integrates spectral thresholding and image technology can effectively realize nighttime cloud detection and provides a new idea for nighttime cloud detection applications.

Key words: nighttime cloud detection, geostationary satellite, spectral features, image techniques

中图分类号:

P237

文刚, 周仿荣, 马仪, 王一帆, 王国芳, 马御棠, 朱龙昌, 李春明, 吴磊. 融合光谱阈值与图像技术的静止卫星夜间云检测方法[J]. 测绘通报, 2024, 0(1): 72-76.

WEN Gang, ZHOU Fangrong, MA Yi, WANG Yifan, WANG Guofang, MA Yutang, ZHU Longchang, LI Chunming, WU Lei. Geostationary satellite nighttime cloud detection method by fusing spectral threshold and image techniques[J]. Bulletin of Surveying and Mapping, 2024, 0(1): 72-76.

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融合光谱阈值与图像技术的静止卫星夜间云检测方法

Geostationary satellite nighttime cloud detection method by fusing spectral threshold and image techniques

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