Title :
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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351043
