scholarly journals Localised Gross-Error Detection in the Australian Land Gravity Database

2006 ◽  
Vol 37 (2) ◽  
pp. 175-179 ◽  
Author(s):  
D.M. Sproule ◽  
W.E. Featherstone ◽  
J.F. Kirby
Keyword(s):  
Error Detection ◽  
Gross Error Detection ◽  
Gross Error ◽  
Gravity Database

An improved MT–NT method for gross error detection and data reconciliation

2004 ◽  
Vol 28 (11) ◽  
pp. 2189-2192 ◽  
Author(s):  
Fang Wang ◽  
Xiao-ping Jia ◽  
Shi-qing Zheng ◽  
Jin-cai Yue
Keyword(s):  
Error Detection ◽  
Data Reconciliation ◽  
Gross Error Detection ◽  
Gross Error

Application of neural networks for gross error detection

1993 ◽  
Vol 32 (8) ◽  
pp. 1651-1657 ◽  
Author(s):  
Gagan Gupta ◽  
Shankar Narasimhan
Keyword(s):  
Neural Networks ◽  
Error Detection ◽  
Gross Error Detection ◽  
Gross Error

Gross error detection when variance-covariance matrices are unknown

AIChE Journal ◽  
1993 ◽  
Vol 39 (8) ◽  
pp. 1335-1341 ◽  
Author(s):  
D. K. Rollins ◽  
J. F. Davis
Keyword(s):  
Error Detection ◽  
Covariance Matrices ◽  
Gross Error Detection ◽  
Gross Error

scholarly journals Applications of graph theory to gross error detection for GPS geodetic control networks

2002 ◽  
Vol 5 (4) ◽  
pp. 26-31 ◽  
Author(s):  
Samwel Katambi ◽  
Guo Jiming ◽  
Kong Xiangyuan
Keyword(s):  
Graph Theory ◽  
Error Detection ◽  
Gross Error Detection ◽  
Control Networks ◽  
Gross Error ◽  
Geodetic Control

A Practical Study of Gross-Error Detection in Bundle Adjustment

1981 ◽  
Vol 35 (4) ◽  
pp. 373-386 ◽  
Author(s):  
S. F. El-Hakim
Keyword(s):  
Error Detection ◽  
Bundle Adjustment ◽  
Image Point ◽  
Gross Error Detection ◽  
Factors Affecting ◽  
Gross Error ◽  
Adjustment Program ◽  
Error Detector ◽  
Additional Constraints ◽  
Point Type

A special bundle adjustment program has been developed with a built-in automatic gross-error detector which uses the data snooping approach. The program computes, in an efficient way, the exact value of the redundancy numbers for each image point. Using actual data, many of the factors affecting the reliability of bundle adjustment and the ability of the technique to detect gross errors are studied. The effects of different block parameters, point type and location, and the use of additional constraints are presented.

Correntropy based data reconciliation and gross error detection for bilinear systems

2020 ◽  
Vol 212 ◽  
pp. 115327 ◽  
Author(s):  
Zhengjiang Zhang ◽  
Lester Lik Teck Chan ◽  
Junghui Chen ◽  
Zhijiang Shao
Keyword(s):  
Error Detection ◽  
Bilinear Systems ◽  
Data Reconciliation ◽  
Gross Error Detection ◽  
Gross Error
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