Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1117/12.2557221 |
Cloud Automatic Detection in High-resolution Satellite Images Based on Morphological Features | |
Xiang, Liu; Ping, Shen Jun; Huang Yajun | |
通讯作者 | Xiang, L (corresponding author), Beijing PIESAT Informat Technol Co Ltd, Beijing 100195, Peoples R China. |
会议名称 | 11th International Conference on Graphics and Image Processing (ICGIP) |
会议日期 | OCT 12-14, 2019 |
会议地点 | Zhejiang Gongshang Univ, Hangzhou, PEOPLES R CHINA |
英文摘要 | Cloud cover is one of the main factors affecting the quality of remote sensing images, and cloud detection is the first problem to be solved in remote sensing data production. Therefore, cloud judgment becomes one of the primary tasks and key technologies of remote sensing image processing. The main detection objects include thin cloud, thick cloud and cloud shadow. The main interference factors include snow, gobi, desert, reflective buildings and other highlights. Firstly, the high reflectance characteristics of clouds are used to analyze the distribution of near-infrared and red bands in multispectral remote sensing images to realize preliminary cloud detection. And then using the detected suspected cloud region, different morphological features to distinguish the cloud from other highlight features, and the higher cloud detection accuracy in high-resolution satellite images is achieved. |
英文关键词 | Morphological Features Cloud Automatic Detection Satellite Images Fractal Geometry |
来源出版物 | ELEVENTH INTERNATIONAL CONFERENCE ON GRAPHICS AND IMAGE PROCESSING (ICGIP 2019) |
ISSN | 0277-786X |
EISSN | 1996-756X |
出版年 | 2020 |
卷号 | 11373 |
ISBN | 978-1-5106-3524-1 |
出版者 | SPIE-INT SOC OPTICAL ENGINEERING |
类型 | Proceedings Paper |
语种 | 英语 |
收录类别 | CPCI-S |
WOS记录号 | WOS:000534529600021 |
WOS类目 | Computer Science, Theory & Methods ; Optics ; Imaging Science & Photographic Technology |
WOS研究方向 | Computer Science ; Optics ; Imaging Science & Photographic Technology |
资源类型 | 会议论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/337012 |
作者单位 | [Xiang, Liu; Ping, Shen Jun; Huang Yajun] Beijing PIESAT Informat Technol Co Ltd, Beijing 100195, Peoples R China |
推荐引用方式 GB/T 7714 | Xiang, Liu,Ping, Shen Jun,Huang Yajun. Cloud Automatic Detection in High-resolution Satellite Images Based on Morphological Features[C]:SPIE-INT SOC OPTICAL ENGINEERING,2020. |
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