2019
DOI: 10.1109/tgrs.2019.2905045
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Rigorous Error Modeling for sUAS Acquired Image-Derived Point Clouds

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Cited by 6 publications
(3 citation statements)
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“…In his research, a reliable estimation was achieved by means of experiments and numerical simulations aimed at quantifying a realistic noise level. Driven by progress in hardware condition, signal analysis, and data processing capabilities, TLS has been recently proven as a revolutionary technique for high-accuracy 3D mapping and documentation of physical scenarios [20] and a wide range of other application fields involving 3D modeling [21][22][23][24], topographic analysis [25,26] or digital infrastructures [27,28].…”
Section: Research Backgroundmentioning
confidence: 99%
“…In his research, a reliable estimation was achieved by means of experiments and numerical simulations aimed at quantifying a realistic noise level. Driven by progress in hardware condition, signal analysis, and data processing capabilities, TLS has been recently proven as a revolutionary technique for high-accuracy 3D mapping and documentation of physical scenarios [20] and a wide range of other application fields involving 3D modeling [21][22][23][24], topographic analysis [25,26] or digital infrastructures [27,28].…”
Section: Research Backgroundmentioning
confidence: 99%
“…The mesh models for the two epochs are generated at a similar resolution. While the dense matching uncertainty should be theoretically available for each mesh vertex [23,43], it is computationally demanding and would require massive amounts of memory usage, particularly in the case of the high-resolution models required for coral reef monitoring. A strict solution is offered by the multi-image geometrically constrained least squares matching technique, where not only the matching parameters of all images involved are computed but also simultaneously the object space coordinates, including their standard deviations [44].…”
Section: Level Of Detection or Significance Of Changes In Coral Reef mentioning
confidence: 99%
“…The critical need for accurate and stable reference points for assessing changes in the range of a few centimeters per year for environmental monitoring purposes is stressed, and a thorough analysis of several photographic systems for underwater photogrammetric monitoring of coral reefs is presented. Moreover, moving from previous studies by [22][23][24], we propose a simple and flexible framework to characterize the quality of the derived reef models and to assess the confidence or significance level of the changes detected through time. The method is founded on formal principles of surveying and error propagation theory and is implemented adopting state-of-the-art algorithmic solutions.…”
Section: Introductionmentioning
confidence: 99%