| 基于组分反演的高光谱潮间带表层沉积物自动分类研究 |
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| 引用本文： | 张东,张鹰,李欢,陈晔.基于组分反演的高光谱潮间带表层沉积物自动分类研究[J].海洋学报,2008,30(3):62-71. |
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| 作者姓名： | 张东 张鹰 李欢 陈晔 |
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| 作者单位： | 南京师范大学地理科学学院, 江苏南京 210046 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 利用星载高光谱遥感影像数据Hyperion并结合现场采样粒度分析资料,对潮间带表层沉积物类型的自动分类进行了研究.根据低潮位下沉积物的短波红外光谱反射率与沉积物组分(沙、粉砂、黏土)含量之间的强相关关系,选择2102nm为特征波段,建立了高光谱定量遥感反演模型,获取初步的逐像元沙、粉砂和黏土含量,然后采用线性均衡化处理方法对初步反演结果进行修正,并结合Shepard三角分类法建立对照表,自动确定出每一像元对应的沉积物类型,得到研究区潮间带表层沉积物的空间分布特征,总体分类验证精度为87.9%.研究结果表明,研究区分布着三种沉积物,分别为粉砂质砂、砂质粉砂和粉砂,所占比例分别为18.9%,64.6%和16.5%,它们的空间分布趋势与研究区内的植被分布状况、水动力条件以及沉积物来源密切相关.
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| 关 键 词： | 高光谱 潮间带 沉积物 组分 Shepard三角分类 |
| 收稿时间： | 2007/12/21 0:00:00 |
| 修稿时间： | 2008/3/26 0:00:00 |
Component content reversion based surface sediment classification in muddy intertidal flat by means of hyperspectral remote sensing data |
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| ZHANG Dong,ZHANG Ying,LI Huan and CHEN Ye.Component content reversion based surface sediment classification in muddy intertidal flat by means of hyperspectral remote sensing data[J].Acta Oceanologica Sinica (in Chinese),2008,30(3):62-71. |
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| Authors: | ZHANG Dong ZHANG Ying LI Huan and CHEN Ye |
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| Affiliation: | School of Geographic Science, Nanjing Normal University, Nanjing 210046, China |
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| Abstract: | Combining within situ sedimentary sampling and survey,a satellite-based hyperspectral Hyperion image was successfully used for the surface sediment classification in a muddy intert idalregion.Analysis indicated that under the low tidal level there were strong correlations between the surface spectrum reflect ance in the short wave infrared band and the contents of sand,silt and clay,respectively.For the 2102 nm band,the correlation coefficient reached -0.8954,0.9070 and 0.6547 correspondingly.So this band was chosen for the linear regression model const ruction and the sand,silt and clay contents were quantit atively reversed from their corresponding reflectance values.After that a linear equilibrium corrective method was applied for the amendment of these initial inversed content values.On the basis of these corrected sand,silt and clay contents,Shepard triangular graph method was used and the sediment classification for each pixel was automatically obtained with ENVIIDL program.The spatial distribution charact eristics of the surface sediment type for the whole intertidal flat were then acquired with the total accuracy of 87.9%.Results indicated that there were three kinds of sediment distributed in the study area,namely,silty-sand,sandy-silt and silt with the percent age of 18.9%,64.6% and 16.5%,respectively.The distribution trend of the three sediments was adaptive perfectly with the vegetation distribution patterns,hydrodynamic conditions and the sources of the sediments of this area. |
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| Keywords: | hyperspectral intertidal flat sediment component content Shepard triangular classification |
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