scholarly journals A Quality Evaluation Model for Distributed Processing Systems of Big Data

2014 ◽  
Vol 15 (4) ◽  
pp. 533-545 ◽  
Author(s):  
Seung-Jun Choi ◽  
Jea-Won Park ◽  
Jong-Bae Kim ◽  
Jae-Hyun Choi
Keyword(s):  
Big Data ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Distributed Processing ◽  
Quality Evaluation Model

scholarly journals SAMPLING METHOD ANALYSIS AND QUALITY EVALUATION STRATEGY FOR REMOTE SENSING BIG DATA

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 11-16
Author(s):  
Y. Dang ◽  
J. X. Zhang ◽  
P. C. Zhang ◽  
F. J. Luo ◽  
J. Bai
Keyword(s):  
Remote Sensing ◽  
Big Data ◽  
Natural Resources ◽  
Numerical Experiments ◽  
Quality Evaluation ◽  
Sampling Method ◽  
Evaluation Model ◽  
Data Source ◽  
Method Analysis ◽  
Quality Evaluation Model

Abstract. Under the background of the increasingly unified management of natural resources, remote sensing big-data will become the main data source to support a number of major projects. How to sample the natural resources results efficiently and reliably in the process of quality evaluation is always a research hotspot when it comes to the natural resources results involving remote sensing big-data. A sequential quality evaluation model based on root mean square error (RMSprop) optimization algorithm is constructed by theoretical analysis with an numerical experiments to validate the effectiveness of this method.

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