A new approach to image fusion based on cokriging

Author

Memarsadeghi, Nargess ; Le Moigne, Jacqueline ; Mount, David M. ; Morisette, Jeffrey

Author_Institution

NASA Goddard Space Flight Center, Univ. of Maryland, Greenbelt, MD, USA

Volume

1

fYear

2005

fDate

25-28 July 2005

Abstract

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 image fusion.

Keywords

geophysical signal processing; geophysical techniques; image sensors; interpolation; principal component analysis; remote sensing; sensor fusion; wavelet transforms; ALI; Hyperion data; ISFS project; PCA; cokriging; geostatistical based interpolation method; image fusion; invasive species forecasting system; quantitative fusion quality metrics; remotely sensed data; wavelet-based fusion; Educational institutions; Image fusion; Image sensors; Interpolation; NASA; Performance evaluation; Principal component analysis; Remote sensing; Sensor fusion; Wavelet domain; ALI; Cokriging; Hyperion; Image Fusion; PCA; Remote Sensing; Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion, 2005 8th International Conference on

Print_ISBN

0-7803-9286-8

Type

conf

DOI

10.1109/ICIF.2005.1591912

Filename

1591912