| 基于深度卷积神经网络的云检测方法 |
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| 引用本文： | 段雅鸣,张锦水,朱爽.基于深度卷积神经网络的云检测方法[J].测绘通报,2021,0(4):33-39. |
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| 作者姓名： | 段雅鸣 张锦水 朱爽 |
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| 作者单位： | 1. 北京师范大学地理科学学部遥感科学国家重点实验室, 北京 100875;2. 北京师范大学地理科学学部北京市陆表遥感数据产品工程技术研究中心, 北京 100875;3. 北京工业职业技术学院, 北京 100042 |
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| 基金项目： | 高分辨率对地观测系统重大专项（民用部分）（20-Y30F10-9001-20/22） |
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| 摘 要： | 本文将Fmask云检测结果作为标记样本对深度卷积神经网络进行训练以实现云检测。在仅利用可见光波段和近红外波段的前提下，本文方法的云检测总体精度达到87.65%，高于Fmask的86.92%，而且单景Landsat 8影像的识别用时18 s，远低于Fmask的72 s，具有更高的精度和效率。另外，该方法适用于不同的地表土地覆盖类型，具有很强的泛化能力，是一个通用性强的算法，为进一步的遥感应用打下基础。
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| 关 键 词： | 云检测 深度卷积神经网络 Fmask Landsat 8 强泛化能力 |
| 收稿时间： | 2020-05-14 |
| 修稿时间： | 2021-02-03 |
Cloud detection method based on deep convolutional neural network |
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| DUAN Yaming,ZHANG Jinshui,ZHU Shuang.Cloud detection method based on deep convolutional neural network[J].Bulletin of Surveying and Mapping,2021,0(4):33-39. |
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| Authors: | DUAN Yaming ZHANG Jinshui ZHU Shuang |
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| Institution: | 1. State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing and Digital Earth of Chinese Academy of Sciences, Beijing 100875, China;2. Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China;3. Beijing Polytechnic College, Beijing 100042, China |
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| Abstract: | This paper introduces Fmask cloud detection results as training label into the deep convolutional neural network (DCNN) for cloud detection. Under the premise of using only the visible light band and the near infrared band, the overall accuracy of cloud detection method in this paper reaches 87.65%, which is higher than 86.92% of Fmask. It costs 18 seconds for processing a single Landsat 8 image, which is much lower than 72 seconds that Fmask costing. In addition, this method is suitable for various type of land cover in target image, and has a strong generalization ability for further application. |
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| Keywords: | cloud detection deep convolutional neural network Fmask Landsat 8 strong generalization ability |
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