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Your search keyword '"Wan, Wei"' showing total 2 results
Start Over Author "Wan, Wei" Topic aerosol optical thickness Topic remote sensing
2 results on '"Wan, Wei"'

1. Grid Service Implementation of Aerosol Optical Thickness Retrieval over Land from MODIS

Author

Hu, Yincui, Xue, Yong, Cai, Guoyin, Wu, Chaolin, Guo, Jianping, Luo, Ying, Wan, Wei, Zheng, Lei, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gavrilova, Marina L., editor, Gervasi, Osvaldo, editor, Kumar, Vipin, editor, Tan, C. J. Kenneth, editor, Taniar, David, editor, Laganá, Antonio, editor, Mun, Youngsong, editor, and Choo, Hyunseung, editor

Published
2006
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2. Grid-enabled high-performance quantitative aerosol retrieval from remotely sensed data

Author

Xue, Yong, Ai, Jianwen, Wan, Wei, Guo, Huadong, Li, Yingjie, Wang, Ying, Guang, Jie, Mei, Linlu, and Xu, Hui

Subjects
*AEROSOLS, *INFORMATION retrieval, *COUPLINGS (Gearing), *REMOTE sensing, *GRID computing, *COMPUTER algorithms, *ELECTRONIC information resource searching, *CASE studies
Abstract

Abstract: As the quality and accuracy of remote-sensing instruments improve, the ability to quickly process remotely sensed data is in increasing demand. Quantitative remote-sensing retrieval is a complex computing process because of the terabytes or petabytes of data processed and the tight-coupling remote-sensing algorithms. In this paper, we intend to demonstrate the use of grid computing for quantitative remote-sensing retrieval applications with a workload estimation and task partition algorithm. Using a grid workflow for the quantitative remote-sensing retrieval service is an intuitive way to use the grid service for users without grid expertise. A case study showed that significant improvement in the system performance could be achieved with this implementation. The results of the case study also give a perspective on the potential of applying grid computing practices to remote-sensing problems. [ABSTRACT FROM AUTHOR]

Published
2011
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