Co-mensuration of LiDAR data for the determination of 3D absolute and predicted accuracy using point and area ground control survey data (Conference Presentation)

Mark Abrams

doi:10.1117/12.2667846

12 June 2023 Co-mensuration of LiDAR data for the determination of 3D absolute and predicted accuracy using point and area ground control survey data (Conference Presentation)

Mark Abrams

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Proceedings Volume PC12537, Laser Radar Technology and Applications XXVIII; PC1253702 (2023) https://doi.org/10.1117/12.2667846
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Best practices for the verification and validation of 3D absolute and predicted accuracy of LIDAR data utilizes both point and area ground control surveys. A comparison of both approaches indicates that the legacy (DGPS point survey) provides a rigid, well defined estimate of the measured total accuracy that can be directly compared with predicted accuracy models using the Generic Point-cloud Model (GPM 1.1) construct for modeling sensor measurement error. In contrast, the area ground control approach, often using terrestrial or drone based LIDAR sensors can provide a much higher density survey of the test site, but with a fundamentally different perspective on the absolute accuracy of the site under measurement and consequently the predicted accuracy of the survey. Comparisons of both approaches highlight the strengths and weaknesses of both approaches, especially in the characterization of non-traditional features including building corners, building centers, and building sides.

Conference Presentation

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Mark Abrams "Co-mensuration of LiDAR data for the determination of 3D absolute and predicted accuracy using point and area ground control survey data (Conference Presentation)", Proc. SPIE PC12537, Laser Radar Technology and Applications XXVIII, PC1253702 (12 June 2023); https://doi.org/10.1117/12.2667846

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KEYWORDS

LIDAR

3D modeling

Data modeling

Error analysis

3D metrology

Accuracy assessment

Adaptive control

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