DocumentCode
2236834
Title
Notice of Retraction
Research and Implementation of Parallel Computation of MODIS L1B Data Preprocess Technique
Author
Liangming Liu ; Xiang Li ; Xiongfei Wen
Author_Institution
Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan
fYear
2009
fDate
24-25 April 2009
Firstpage
452
Lastpage
457
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, we firstly introduced the MODIS L1B data and preprocess of MODIS L1B data, and then analyzed the two steps of preprocess: ldquoradiometric calibrationrdquo and ldquoprojection transformrdquo in detail, finally we used three different strategies to parallelize the process of MODIS L1B data of ldquoradiometric calibrationrdquo and ldquoprojection transformrdquo. The result of the experiment shows that the ldquoprojection transformrdquo has more potential in parallel accelerating than that of ldquoradiometric calibrationrdquo due to its larger parallelable proportion, and the accelerating ratio of the strategy of decomposing data by row or column is better than the strategy by band.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, we firstly introduced the MODIS L1B data and preprocess of MODIS L1B data, and then analyzed the two steps of preprocess: ldquoradiometric calibrationrdquo and ldquoprojection transformrdquo in detail, finally we used three different strategies to parallelize the process of MODIS L1B data of ldquoradiometric calibrationrdquo and ldquoprojection transformrdquo. The result of the experiment shows that the ldquoprojection transformrdquo has more potential in parallel accelerating than that of ldquoradiometric calibrationrdquo due to its larger parallelable proportion, and the accelerating ratio of the strategy of decomposing data by row or column is better than the strategy by band.
Keywords
data handling; geophysics computing; parallel processing; radiometry; remote sensing; MODIS LIB data preprocess technique; parallel computation; projection transform; radiometric calibration; Acceleration; Calibration; Concurrent computing; Data preprocessing; MODIS; Monitoring; Parallel processing; Radiometry; Remote sensing; Satellite broadcasting; MODIS; parallel commputation; preprocess;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial and Information Systems, 2009. IIS '09. International Conference on
Conference_Location
Haikou
Print_ISBN
978-0-7695-3618-7
Type
conf
DOI
10.1109/IIS.2009.120
Filename
5116394
Link To Document