地基Headwall高谱影像大气校正方法

吴晓明

doi:10.11728/cjss2019.04.537

地基Headwall高谱影像大气校正方法

doi: 10.11728/cjss2019.04.537

吴晓明

山东外贸职业学院基础教学部青岛 266100

基金项目:

山东省教育厅2018年度高等学校科研发展计划项目资助（J18KA350）

详细信息

作者简介:
吴晓明,1010260@sdwm.edu.cn

中图分类号: V527;TP75
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- 文章访问数: 1233
- HTML全文浏览量: 147
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- 被引次数: 0
出版历程
- 收稿日期: 2018-05-21
- 修回日期: 2019-05-22
- 刊出日期: 2019-07-15

Atmospheric Correction Method for Ground-based Headwall Hyperspectral Imagery

WU Xiaoming

Basic Teaching Department, Shandong Foreign Trade Vocational College, Qingdao 266100

摘要

摘要: 遥感影像大气校正是定量遥感研究的前提与难点之一.大气校正有多种方法和模型.本文研究了目前常用的大气校正方法，包括FLAASH模型、6S模型、ELC方法和QUAC方法，并应用这几种方法对Headwall野外高光谱成像仪获取的高光谱影像进行大气校正.通过对4种典型地物的表观反射率、校正后反射率以及实测反射率进行对比分析，发现4种模型均能有效去除大气的影响，能够较好地恢复地物光谱的典型特征.相对于其他3种大气校正方法，经验线性法对地基Headwall高光谱影像校正效果最好.
- 高光谱 /
- 大气校正 /
- FLAASH模型 /
- 6S模型 /
- 经验线性法
Abstract: Atmospheric correction of remote sensing imagery is one of the prerequisites and difficulties of the quantitative remote sensing research. There are many methods and models for atmospheric correction. Several common methods of atmospheric correction, including the FLAASH model, 6S model, ELC method, and QUAC method etc are discussed in this paper. These atmospheric correction methods are applied to Headwall hyperspectral imagery. The apparent reflectance, corrected reflectance, and the measured reflectance of four kinds of typical objects in the study area are compared. The result shows that these four models can effectively remove the influence of the atmosphere, and it can basically restore the representative characteristics of typical objects spectrum. The performance of the ELC method is superior to the other methods in the atmospheric correction of ground-based Headwall hyperspectral imagery.
- Hyperspectral /
- Atmospheric correction /
- FLAASH model /
- 6S model /
- ELC method

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参考文献(19)

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