Title :
Distributed application framework for Earth science data processing
Abstract :
One of the characteristics of Earth science data is their diversity, which results in a large number of similar algorithms tailored to a specific data set. Moreover, it is often difficult to connect several algorithms in a "pipeline" where output of one is the input of the other. The solution we propose in this paper is a flexible and an extensible framework that enables us to decouple the data from the application and lay the foundation for integration of several algorithms into a single system.
Keywords :
geophysical signal processing; geophysics computing; remote sensing; algorithm; data processing; distributed application framework; extensible framework; flexible framework; geophysical measurement technique; pipeline; pipelining; remote sensing; Algorithm design and analysis; Data processing; Filters; Geoscience; Java; NASA; Numerical simulation; Parallel processing; Standards development; XML;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1025645
