| 线性混合像元分解及其在林业中的应用 |
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| 引用本文： | 陈丽萍,孙玉军. 线性混合像元分解及其在林业中的应用[J]. 世界林业研究, 2017, 30(5): 39-44. DOI: 10.13348/j.cnki.sjlyyj.2017.0047.y |
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| 作者姓名： | 陈丽萍 孙玉军 |
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| 作者单位： | 北京林业大学省部共建森林培育与保护教育部重点实验室, 北京 100083 |
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| 基金项目： | 国家林业局项目“基于FORPLAN的森林多功能经营技术引进”（2015-4-31）。 |
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| 摘 要： | 由于地表覆盖的复杂性，在遥感影像中存在混合像元现象。文中对混合像元分解模型进行梳理，并针对线性混合像元分解在林业中的应用做了分类总结。目前混合像元分解模型主要有线性、概率、几何光学、随机几何与模糊模型5种，不同模型所需参数与输出结果也存在一定差异。其中线性混合模型在林业中的应用最为广泛，主要有土地利用分类与变化监测、森林灾害监测、稀疏植被探测、城市植被丰度估算、不均匀冠层参数估算等方面。
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| 关 键 词： | 混合像元分解 遥感影像 林业遥感 |
| 收稿时间： | 2017-02-17 |
| 修稿时间： | 2017-05-10 |
Linear Unmixing and Its Application in Forestry Sector |
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| Chen Liping and Sun Yujun. Linear Unmixing and Its Application in Forestry Sector[J]. World Forestry Research, 2017, 30(5): 39-44. DOI: 10.13348/j.cnki.sjlyyj.2017.0047.y |
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| Authors: | Chen Liping and Sun Yujun |
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| Affiliation: | The Key Laboratory for Sivilculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China |
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| Abstract: | Due to the complexity of the land cover, there are pixel mixture in the remote sensing image. This paper reviewed the pixel unmixing models, and classified and concluded its application in forestry. Currently, the pixel unmixing model mainly contains the linear model, probability model, geometrical optics model, stochastic geometry and fuzzy model. These models have different parameters and outputs. The linear mixed model is most widely used in forestry, mainly in land use classification and monitoring, forest disaster monitoring, detection of sparse vegetation, estimation of urban vegetation abundance and estimation for uneven canopy physical parameters. |
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| Keywords: | pixel unmixing remote sensing image forestry remote sensing |
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