| 基于HJ1A-CCD数据的高光谱影像重构研究 |
| 摘要点击 3196 全文点击 1188 投稿时间：2012-03-20 修订日期：2012-05-03 |
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| 中文关键词 巢湖 HJ1A-CCD数据 HJ1A-HSI数据 高光谱重构 叶绿素a |
| 英文关键词 Chaohu Lake HJ1A-CCD data HJ1A-HSI data hyperspectral reconstruction chlorophyll-a |
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| 中文摘要 |
| 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0.3051和0.3377; 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. |
| 英文摘要 |
| 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. |
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