An attempt to analyse Iterative Data Snooping and L1-norm based on Monte Carlo simulation in the context of leveling networks-Reference-Cited by-同舟云学术

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An attempt to analyse Iterative Data Snooping and L1-norm based on Monte Carlo simulation in the context of leveling networks

Published:2021-02-01 Issue:382 Volume:54 Page:70-78
ISSN:0039-6265
Container-title:Survey Review
language:en
Short-container-title:Survey Review

Author:

Klein Ivandro¹²^ORCID,Suraci Stefano Sampaio³,de Oliveira Leonardo Castro³,Rofatto Vinicius Francisco⁴,Matsuoka Marcelo Tomio⁴⁵,Baselga Sergio⁶

Affiliation:

1. Department of Civil Construction, Federal Institute of Santa Catarina, Florianopolis, SC, Brazil

2. Graduate Program in Geodetic Sciences, Federal University of Paraná, Curitiba, PR, Brazil

3. Cartographic Engineering Department, Military Institute of Engineering, Rio de Janeiro, Brazil

4. Institute of Geography, Federal University of Uberlandia, Monte Carmelo, MG, Brazil

5. Graduate Program in Agriculture and Geospatial Information, Federal University of Uberlandia, Monte Carmelo, MG, Brazil

6. Department of Cartographic Engineering, Geodesy and Photogrammetry, Universitat Politècnica de València, València, Spain

Publisher

Informa UK Limited

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00396265.2021.1878338

Reference34 articles.

1. Formulation of L1 Norm Minimization in Gauss-Markov Models

2. Stability Analysis of Deformation-Monitoring Network Points Using Simultaneous Observation Adjustment of Two Epochs

3. Global Optimization Solution of Robust Estimation

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1. An extended w-test for outlier diagnostics in linear models;Journal of Geodesy;2024-06

2. Optimal Minimum L1-Norm Criteria for Outlier Identification in GNSS and Leveling Networks;Journal of Surveying Engineering;2023-11

3. A direct approach for L1-norm minimisation;Survey Review;2023-10-31

4. A DIA method based on maximum a posteriori estimate for multiple outliers;GPS Solutions;2023-09-13

5. Introducing covariances of observations in the minimum L1-norm, is it needed?;Journal of Geodetic Science;2022-01-01

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