A new approach to image fusion based on cokriging

被引：0
|
作者：
Memarsadeghi, N [1 ]
Le Moigne, J [1 ]
Mount, DM [1 ]
Morisette, J [1 ]
机构：
[1] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
来源：
2005 7TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), VOLS 1 AND 2 | 2005年
关键词：
image fusion; cokriging; wavelet; PCA; remote sensing; hyperion; ALI;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We consider the image fusion problem involving remotely sensed data. We introduce cokriging as a method to perform fusion. We investigate the advantages of fusing Hyperion with ALI. This evaluation is performed by comparing the classification of the fused data with that of input images and by calculating well-chosen quantitative fusion quality metrics. We consider the Invasive Species Forecasting System (ISFS) project as our fusion application. The fusion of ALI with Hyperion data is studied using PCA and wavelet-based fusion. We then propose utilizing a geostatistical based interpolation method called cokriging as a new approach for imagefusion.
引用
收藏
页码：622 / 629
页数：8
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