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- W2553560901 abstract "Rapid advancements in imaging and geospatial data capture technologies have led to major challenges in validating data quality. Based on experience in determining minimum specifications for LiDAR data collection and sharing among multiple organizations, solving this challenge can involve adopting flexible Quality Assurance and Quality Control specifications and metadata standards (Adda and Coleman, 2010). However, there were recurring limitations among LiDAR data users in this research to perform independent investigations to determine “false accuracies” and establish if data accuracies are within tolerances for project-specific applications. This paper discusses development of independent, generic processes and algorithms required to support a User Determined Total Uncertainty Budgeting (UDTUB) model. The model stems from Hare’s [2001] model employed in CARIS ™ software originally developed to determine uncertainties in multibeam bathymetry. Least Square Adjustment techniques are utilized to determine data processing and integration error budgets. Smoothed best estimated trajectories and comprehensive files from commercial LiDAR vendors are inputs to estimate the error expected from using a LiDAR system. Errors of multiple datasets are correlated and compared to user error budgets using Spearman’s rank correlation coefficients. Preliminary tests produced positive correlation between error budgets of large datasets and corresponding ground truthing surveys. The UDTUB model shows superiority over previous methods as it quantifies error budget confidence by using simulated or physical controls and permits independent and holistic uncertainty estimation of large datasets." @default.
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- W2553560901 date "2012-01-01" @default.
- W2553560901 modified "2023-09-27" @default.
- W2553560901 title "A USER DETERMINED TOTAL UNCERTAINTY BUDGET MODEL FOR CLIENT- SIDE CONTROL AND ANALYSIS OF LASER SENSED DATA" @default.
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