Overview of spaceborne hyperspectral imagers and the research progress in bathymetric maps | |
Jia, Xinyin1,2; Li, Siyuan1; Ke, Shanliang1; Hu, Bingliang1![]() | |
2020 | |
会议名称 | 2nd Target Recognition and Artificial Intelligence Summit Forum 2019 |
会议录名称 | Second Target Recognition and Artificial Intelligence Summit Forum |
卷号 | 11427 |
会议日期 | 2019-08-28 |
会议地点 | Shenyang, China |
出版者 | SPIE |
产权排序 | 1 |
摘要 | Coastal environmental elements such as bathymetry maps are of great significance to the economic and military development of each country. Spaceborne hyperspectral imager is one of the important instruments for coastal zone monitoring. Firstly, this paper systematically reviews the index system of spaceborne hyperspectral imagers, and then introduces the applications of hyperspectral remote sensing images in the retrieval of nearshore bathymetry. In order to improve the inversion accuracy, the current research status and shortcomings of fusion technology of laser active remote sensing and hyperspectral passive remote sensing are discussed. Furthermore, the index system of hyperspectral imagers is prospected based on the requirement of applications in coastal zone monitoring, which provides reference and support for the further development of hyperspectral remote sensing in coastal applications. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only. |
关键词 | Bathymetry maps satellite-borne hyperspectral imagers LiDAR coastal zone |
作者部门 | 光谱成像技术研究室 |
DOI | 10.1117/12.2550312 |
收录类别 | EI ; CPCI |
ISBN号 | 9781510636316 |
语种 | 英语 |
ISSN号 | 0277786X;1996756X |
EI入藏号 | 20201108282826 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/93314 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.Key Laboratory of Spectral Imaging Technology, Xi'An Institute of Optical Precision Machinery of Chinese Academy of Sciences, Xi'an; 710119, China; 2.University of Chinese Academy of Sciences, Beijing; 100049, China |
推荐引用方式 GB/T 7714 | Jia, Xinyin,Li, Siyuan,Ke, Shanliang,et al. Overview of spaceborne hyperspectral imagers and the research progress in bathymetric maps[C]:SPIE,2020. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Overview of spacebor(506KB) | 会议论文 | 限制开放 | CC BY-NC-SA | 请求全文 |
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