Dehazing method for hyperspectral remote sensing imagery with hyperspectral linear unmixing | |
Gan, Yuquan; Hu, Bingliang; Wen, Desheng; Wang, Shuang | |
2016 | |
会议名称 | International Symposium on Hyperspectral Remote Sensing Applications and the International Symposium on Environmental Monitoring and Safety Testing Technology |
会议录名称 | Hyperspectral Remote Sensing Applications and Environmental Monitoring and Safety Testing Technology |
卷号 | 10156 |
会议日期 | 2016-05-09 |
会议地点 | Beijing, China |
出版者 | SPIE |
产权排序 | 1 |
摘要 | Haze always exists in hyper-spectral remote sensing imagery, and it is a key reason that influences the effective information extraction of hyper-spectral images. Specially, when the faint haze covers part of the target in remote sensing images, the target still can be detected but not clear. So, how to remove the influence of the haze and improve the applicable efficiency of hyper-spectral images is a popular research point. This paper proposes a dehazing method for hyper-spectral images based on linear unmixing. First, a popular hyper-spectral unmixing method called FUN is used to get the signature of all the end-members and their corresponding abundance. And then, the abundance of the haze end-member is removed and the abundances of the rest end-members are adjusted to satisfy the sum-To-one and non-negative constraint. Lastly, the new abundance and the signature of the end-members are linearly mixed to get the dehazed hyper-spectral images. The experiment result shows that the dehazed hyper-spectral images exhibit better target information and details. The method is effective and available. © 2016 SPIE. |
关键词 | Demulsification Environmental Engineering Environmental Technology Image Processing Image Reconstruction Safety Testing Spectroscopy |
学科领域 | Environmental Engineering |
作者部门 | 光谱成像技术实验室 |
DOI | 10.1117/12.2246656 |
收录类别 | EI ; ISTP |
ISBN号 | 9781510607705 |
语种 | 英语 |
ISSN号 | 0277786X |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/28570 |
专题 | 光谱成像技术研究室 |
作者单位 | Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, No. 17 Xinxi Road, Xi'an, China |
推荐引用方式 GB/T 7714 | Gan, Yuquan,Hu, Bingliang,Wen, Desheng,et al. Dehazing method for hyperspectral remote sensing imagery with hyperspectral linear unmixing[C]:SPIE,2016. |
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