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| 基于HJ1A-CCD数据的高光谱影像重构研究 | |
| 引用本文： | 郭宇龙,李云梅,朱利,徐德强,李渊,檀静,周莉,刘阁.基于HJ1A-CCD数据的高光谱影像重构研究[J].环境科学,2013,34(1):69-76. |
| 作者姓名： | 郭宇龙 李云梅 朱利 徐德强 李渊 檀静 周莉 刘阁 |
| 作者单位： | 1. 南京师范大学虚拟地理环境教育部重点实验室,南京,210046 2. 环保部卫星环境应用中心,北京,100029 3. 宜兴市水文水资源监测中心,宜兴,214200 |
| 基金项目： | 国家自然科学基金项目(40971215); 江苏省2011年度普通高校研究生科研创新计划立项项目(CXLX11_0880); 江苏省高校自然科学研究重大项目(11KJA170003); 江苏高校优势学科建设工程项目(1411109012); 国家自然科学基金项目(41171269); 江苏省2012年度普通高校研究生创新计划项目(CXZZ12-0397) |
| 摘 要： | 遥感影像高光谱重构可以从较少的光谱波段还原出丰富的高光谱信息,为水环境遥感提供更加适用的数据源,对内陆水体水色遥感具有重要意义.利用2009年6月13日获取的HJ1A-HSI和HJ1A-CCD数据,构建HJ1A-CCD数据的高光谱重构模型,重构结果表明:①与地面实测数据相比,重构数据和HJ1A-HSI数据在660～900 nm波长范围内的平均相对误差分别为0.305 1和0.337 7;②重构影像信息熵和平均梯度都高于HJ1A-HSI影像.此外,分别利用HJ1A-HSI数据和重构数据建立叶绿素a浓度的三波段反演模型,发现重构数据能得到更高的反演精度. |
| 关 键 词： | 巢湖 HJ1A-CCD数据 HJ1A-HSI数据 高光谱重构 叶绿素a |
| 收稿时间： | 2012/3/20 0:00:00 |
| 修稿时间： | 5/3/2012 12:00:00 AM |
Research of Hyperspectral Reconstruction Based on HJ1A-CCD Data |
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| GUO Yu-long,LI Yun-mei,ZHU Li,XU De-qiang,LI Yuan,TAN Jing,ZHOU Li and LIU Ge.Research of Hyperspectral Reconstruction Based on HJ1A-CCD Data[J].Chinese Journal of Environmental Science,2013,34(1):69-76. | |
| Authors: | GUO Yu-long LI Yun-mei ZHU Li XU De-qiang LI Yuan TAN Jing ZHOU Li and LIU Ge |
| Institution: | Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210046, China;Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210046, China;Satellite Environment Application Center, Ministry of Environmental Protection, Beijing 100029, China;Yixing Bureau of Hydrology and Water Resources Survey, Yixing 214200, China;Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210046, China;Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210046, China;Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210046, China;Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210046, China |
| Abstract: | By restoring plentiful spectral information from several bands, hyperspectral image reconstruction could provide more suitable data source to water environment remote sensing. This is significant for inland water color remote sensing. By using the HJ1A-HSI and HJ1A-CCD image acquired on June 6th, 2009, the hyperspectral data was reconstructed from HJ1A-CCD data. The results show that: 1The average relative error of HJ1A-HSI data and reconstructed data compared with measured Rrs at 660 nm-900 nm are 0.3335 and 0.3077, respectively; 2The entropy and average gradient of reconstructed image are higher than HJ1A-HSI image. In additional, the three band model get higher accuracy when inversing chl-a concentration by the reconstructed data. |
| Keywords: | Chaohu Lake HJ1A-CCD data HJ1A-HSI data hyperspectral reconstruction chlorophyll-a |
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