Stitching of hyper-spectral UAV images based on feature bands selection
文献类型：期刊论文
| 作者 | Xia, L.1; Zhang, R.R.1; Chen, L.P.1; Zhao, F.1; Jiang, H.J.1 |
| 刊名 | IFAC-PapersOnLine
 |
| 出版日期 | 2016 |
| 卷号 | 49期号:16页码:1-4 |
| 英文摘要 | This study employed the feature band pre-selection and composite process to overcome the mosaic difficulties of large number of bands and huge data volume of the hyperspectral UAV images before the mosaic process being done. The application and comparison were done by using the UHD 185 hyperspectral camera, and the result showed that the band pre-selection and composite method used in this study can go up as high as being 390 percent faster than the single band mosaic (for the Normalized Differential Vegetation Index application), and about 46 times faster than full band mosaic. Besides, compared to the full band mosaic method, the method used in the study can reduce the maximum memory usage amount and final mosaic file size significantly. © 2016 |
| 收录类别 | EI |
| 语种 | 英语 |
| WOS记录号 | WOS:20164603023291 |
| 源URL | [http://ir.radi.ac.cn/handle/183411/39649]  |
| 专题 | 遥感与数字地球研究所_SCI/EI期刊论文_期刊论文 |
| 作者单位 | 1. Beijing Research Center of Intelligent Equipment for Agriculture, Beijing Academy of agriculture and forestry Sciences, Beijing, China 2. State Key Laboratory of Remote Sensing Science, Institute of remote sensing and Digital Earth Research, Institute and Beijing Normal University, Beijing 3.100086, China 4. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, University of Chinese academy of Science, Beijing, China |
| 推荐引用方式 GB/T 7714 | Xia, L.,Zhang, R.R.,Chen, L.P.,et al. Stitching of hyper-spectral UAV images based on feature bands selection[J]. IFAC-PapersOnLine,2016,49(16):1-4. |
| APA | Xia, L.,Zhang, R.R.,Chen, L.P.,Zhao, F.,&Jiang, H.J..(2016).Stitching of hyper-spectral UAV images based on feature bands selection.IFAC-PapersOnLine,49(16),1-4. |
| MLA | Xia, L.,et al."Stitching of hyper-spectral UAV images based on feature bands selection".IFAC-PapersOnLine 49.16(2016):1-4. |
入库方式： OAI收割
来源：遥感与数字地球研究所
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