A new data fusion model for generating high spatial and temporal resolution images

Author

Huang, Yongxi ; Li, Xiaosong ; Bai, Lina ; Wu, Bingfang ; Wang, Hao ; Zhu, Weiwei

Author_Institution

Inst. of Remote Sensing Applic., Beijing, China

fYear

2012

fDate

22-27 July 2012

Firstpage

2268

Lastpage

2271

Abstract

In order to solve the problem of data shortages resulting from long revisit period and cloud contamination in high resolution imagery, this paper proposed a fusion model for generating high spatial and temporal resolution images based on semi-physical method and improved ESTARFM(enhanced spatial and temporal adaptive reflectance fusion model). The result shows that the new model can produce more precise reflectance than ESTARFM and take full use of high spatial resolution data.

Keywords

geophysical image processing; image resolution; sensor fusion; ESTARFM; cloud contamination; data fusion model; data shortage; enhanced spatial and temporal adaptive reflectance fusion model; high spatial resolution image; high temporal resolution image; semiphysical method; Adaptation models; Earth; MODIS; Reflectivity; Remote sensing; Satellites; Spatial resolution; BRDF (bidirectional reflectance distribution function); ESTARFM; data fusion; semi-physical method;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351043

Filename

6351043