摘要
EO-1Hyperion高光谱遥感影像在实际应用中,需对图像进行大气纠正及补偿等预处理,以便获得较好质量的图像,为进一步分析和应用提供保障.笔者运用FLAASH大气校正模型对中国云南香格里拉地区的Hyperion卫星影像进行大气校正,利用图像MNF转换法对光谱曲线进行去噪平滑优化,再对校正前后影像进行遥感影像和典型地物光谱曲线对比分析.结果表明,影像经FLAASH大气校正和MNF平滑后,较好地消除了大气影响和Hyperion高光谱遥感图像的光谱噪声.
In practice, it is importance to eliminate atmospheric effects on the EO-1 Hyperion Hyper-spectral imagery, this process know as atmospheric correction and atmospheric compensation. At present, FLAASH（fast line of sight atmospheric analysis of spectral hyper-cubes） is an atmospheric correction software packages for imagery atmospheric correction, In this paper, the latest version of FLAASH atmosphere correction code derives was introduced, and some comparison s of with FLAASH and MNF processed EO-1 Hyperion data, including results obtained using different processing options were showed. A preliminary evaluation to FLAASH algorithm was done in this paper and the result showed that this process improve the quality of the output reflectance and this method of atmospheric correct way is effective.
出处
《新疆地质》
CAS
CSCD
北大核心
2010年第1期109-112,共4页
Xinjiang Geology
关键词
大气校正
FLAASH
高光谱影像
HYPERION数据
Atmospheric correction
FLAASH
Hyper-spectral imagery
Hyperion data
Atmospheric radiation transfer model
