Research on singular value decomposition algorithm for mixed additive and multiplicative error model

•LiDAR data is disturbed by mixed additive and multiplicative errors.•The bias-corrected weighted least squares solution relies on error distribution information.•The SVD algorithm overcomes the reliance on error information for the solution. Extensive research has demonstrated that observational da...

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Veröffentlicht in:	Measurement : journal of the International Measurement Confederation Jg. 260; S. 119810
Hauptverfasser:	Li, Guohong, Xin, Huijuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 10.02.2026
Schlagworte:	Bias-corrected weighted least squares Digital terrain model Errors-in-variables Mixed additive and multiplicative error model Singular value decomposition Digital terrain model Errors-in-variables Mixed additive and multiplicative error model Bias-corrected weighted least squares Singular value decomposition
ISSN:	0263-2241
Online-Zugang:	Volltext
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