| 模拟真实场景的混合像元分解 |
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| 引用本文： | 范渭亮,杜华强,周国模,徐小军,崔瑞蕊,董德进.模拟真实场景的混合像元分解[J].遥感学报,2010,14(6):1250-1265. |
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| 作者姓名： | 范渭亮 杜华强 周国模 徐小军 崔瑞蕊 董德进 |
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| 作者单位： | 浙江农林大学,浙江省森林生态系统碳循环与固碳减排重点实验室,环境科技学院,浙江,临安,311300 |
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| 基金项目： | 国家自然科学基金项目(编号: 30700638); 国家林业局948 项目(编号:2008-4-49)和浙江省科技厅项目(编号: 2007C13041,
2008C12068)。 |
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| 摘 要： | 在总结混合像元分解方法的基础上, 提出了一种模拟真实场景的像元分解方法, 该方法首先通过真实场
景的模拟获得各分量的丰度, 结合遥感影像与场景模拟的丰度反演端元反射率(模拟端元), 最后用带约束条件的线
性模型进行混合像元分解。用浙江省安吉县毛竹林调查资料及Landsat TM 对该方法进行验证和对比分析表明, 基
于模拟端元的混合像元分解结果比基于影像端元和参考端元的精度高且具有良好的稳健性。模拟真实场景的混合
像元分解方法将样地调查数据的先验知识应用于端元提取, 并将三维模拟模型引入到二维的线性光谱分解中, 具
有一定的优势和应用推广前景。
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| 关 键 词： | 场景建模 模拟端元 像元分解 线性模型 Landsat TM |
| 收稿时间： | 2009/10/15 0:00:00 |
| 修稿时间： | 2010/5/15 0:00:00 |
Spectral mixture analysis method based on the\nsimulation of real scenario |
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| FAN Weiliang,DU Huaqiang,ZHOU Guomo,XU Xiaojun,CUI Ruirui and DONG Dejin.Spectral mixture analysis method based on the\nsimulation of real scenario[J].Journal of Remote Sensing,2010,14(6):1250-1265. |
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| Authors: | FAN Weiliang DU Huaqiang ZHOU Guomo XU Xiaojun CUI Ruirui and DONG Dejin |
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| Abstract: | This paper proposes a new unmixing method based on the simulation of real scenario. Fractions of the components
are firstly obtained through the real scenario simulation. Then reflectance values of the endmembers (simulated endmembers)
are calculated by combining the image reflectance values and corresponding simulated fractions. A constrained linear model is
finally used to unmix pixels based on the simulated endmembers. Comparative analysis of the different endmember extraction
methods, such as simulated endmembers, image endmembers, and reference endmembers, indicates that the simulated
endmember method has the highest estimation accuracy and robustness for the crown closure of moso bamboo. The advantage
of the real scenario simulation is to use field data as a priori knowledge for endmember extraction and introduce a
three-dimensional simulation model into a two-dimensional linear spectral decomposition. |
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| Keywords: | real scenario modeling simulated endmember spectral mixture analysis linear mixture models Landsat TM |
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