Results 11 to 20 of about 865,609 (245)

Enhancing Wheat Above-Ground Biomass Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications

open access: yesRemote Sensing, 2023
Above-ground biomass (AGB) serves as an indicator of crop growth status, and acquiring timely AGB information is crucial for estimating crop yield and determining appropriate water and fertilizer inputs.
Weiguang Zhai   +9 more
doaj   +1 more source

M-Estimation as a Tool Supporting a Vessel Traffic Controller in the VTS System

open access: yesPolish Maritime Research, 2015
In order to improve maritime safety and the efficiency of vessel traffic, systems supervising vessel traffic, i.e. VTS (Vessel Traffic Service), started to be created.
Świerczyński Sławomir   +1 more
doaj   +1 more source

Msplit Estimation Approach to Modeling Vertical Terrain Displacement from TLS Data Disturbed by Outliers

open access: yesRemote Sensing, 2022
Terrestrial laser scanning (TLS) is a modern measurement technique that provides a point cloud in a relatively short time. TLS data are usually processed using different methods in order to obtain the final result (infrastructure or terrain models ...
Robert Duchnowski, Patrycja Wyszkowska
doaj   +1 more source

Application of Initial Bias Estimation Method for Inertial Navigation System (INS)/Doppler Velocity Log (DVL) and INS/DVL/Gyrocompass Using Micro-Electro-Mechanical System Sensors

open access: yesSensors, 2022
This article proposes a novel initial bias estimation method using a trajectory generator (TG). The accuracy of attitude and position estimation in navigation after using the inertial navigation system/Doppler velocity log (INS/DVL) and INS/DVL ...
Gen Fukuda, Nobuaki Kubo
doaj   +1 more source

On Inconsistent $M$-Estimators

open access: yesThe Annals of Statistics, 1982
If $M$ is not convex, and the underlying density is multi-modal, $M$-estimators can be inconsistent. Examples are given, as well as some positive results.
Freedman, D. A., Diaconis, P.
openaire   +3 more sources

Generalized Projection-Based M-Estimator [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
We propose a novel robust estimation algorithm—the generalized projection-based M-estimator (gpbM), which does not require the user to specify any scale parameters. The algorithm is general and can handle heteroscedastic data with multiple linear constraints for single and multicarrier problems.
Sushil, Mittal   +2 more
openaire   +2 more sources

COMPARISONS BETWEEN ROBUST REGRESSION APPROACHES IN THE PRESENCE OF OUTLIERS AND HIGH LEVERAGE POINTS

open access: yesBarekeng, 2022
The study aimed to compare a few robust approaches in linear regression in the presence of outlier and high leverage points. Ordinary least square (OLS) estimation of parameters is the most basic approach practiced widely in regression analysis. However,
Anwar Fitrianto, Sim Hui Xin
doaj   +1 more source

Characterizing M-estimators

open access: yesBiometrika, 2023
Summary We characterize the full classes of M-estimators for semiparametric models of general functionals by formally connecting the theory of consistent loss functions from forecast evaluation with the theory of M-estimation. This novel characterization result allows us to leverage existing results on loss functions known from the ...
Timo Dimitriadis   +2 more
openaire   +3 more sources

Improvement in Accuracy of Determining a Vessel’s Position with the Use of Neural Networks Ana Robust M-Estimation

open access: yesPolish Maritime Research, 2017
In the 21st century marine navigation has become dominated by satellite positioning systems and automated navigational processes. Today, global navigation satellite systems (GNSS) play a central role in the process of carrying out basic navigational ...
Czaplewski Krzysztof, Wąż Mariusz
doaj   +1 more source

Determination of Terrain Profile from TLS Data by Applying Msplit Estimation

open access: yesRemote Sensing, 2020
This paper presents an application of an Msplit estimation in the determination of terrain profiles from terrestrial laser scanning (TLS) data. We consider the squared Msplit estimation as well as the absolute Msplit estimation.
Patrycja Wyszkowska   +2 more
doaj   +1 more source

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