Title :
Cross validation approach in qualification of observed gravity data
Author :
Sulaiman, S.A.H. ; Talib, K.H. ; Md Wazir, Mat Akhir ; Yusof, O.M.
Author_Institution :
Center of Study Surveying Sci. & Geomatics, Univ. Teknol. MARA, Shah Alam, Malaysia
Abstract :
The compilation of observed gravity data has to go through a vetting process to ensure that all the data to be used is errorless. The quality of gravity data affects the accuracy and reliability of the geoid that will be established. In this study, cross validation approach was proposed in order to qualify the existing observed gravity data. Therefore, the efficiency of the cross validation approach is scrutinized during detection and removal of outliers. Finally, new improvements are developed in the observed gravity database.
Keywords :
geophysical signal processing; gravity; remote sensing; cross validation approach; geoid accuracy; geoid reliability; observed gravity data qualification; outlier detection; outlier removal; vetting process; Accuracy; Computational modeling; Data models; Databases; Earth; Gravity; Histograms; Cross Validation; Geoid; Geopotential Model; Outliers & Gravity Anomalies;
Conference_Titel :
Control and System Graduate Research Colloquium (ICSGRC), 2013 IEEE 4th
Conference_Location :
Shah Alam
Print_ISBN :
978-1-4799-0550-8
DOI :
10.1109/ICSGRC.2013.6653297
