Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

54.0K
Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
54.0K
Uncertainty in Measurement: Significant Figures03:34

Uncertainty in Measurement: Significant Figures

84.1K
All the digits in a measurement, including the uncertain last digit, are called significant figures or significant digits. Note that zero may be a measured value; for example, if a scale that shows weight to the nearest pound reads “140,” then the 1 (hundreds), 4 (tens), and 0 (ones) are all significant (measured) values.
84.1K
The Uncertainty Principle04:08

The Uncertainty Principle

33.2K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
33.2K
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

105.2K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
105.2K
Uncertainty: Overview00:59

Uncertainty: Overview

1.8K
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
1.8K
Assessment of the Cardiovascular System II: Inspection01:29

Assessment of the Cardiovascular System II: Inspection

919
Inspection is the initial step in assessing the cardiovascular system. It involves a detailed visual examination that provides crucial information about a patient's circulatory and cardiac health. This systematic process, conducted from head to toe, helps identify signs of cardiovascular conditions by observing physical appearance, skin and mucous membranes, jugular and carotid pulsations, chest symmetry, and the condition of the extremities.
Head and Neck
919

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Decision-Aware Multi-Horizon Fault Prediction for Photovoltaic Inverters: Analysis of Threshold-Based Alarm Policies Under Operational Constraints.

Sensors (Basel, Switzerland)·2026
Same author

Comparative Performance Evaluation of Multi-Type LiDAR Sensors and Their Applicability to Sidewalk HD Mapping.

Sensors (Basel, Switzerland)·2026
Same author

Marker-Based Structural Displacement Measurement Models with Camera Movement Error Correction Using Image Matching and Anomaly Detection.

Sensors (Basel, Switzerland)·2020
Same author

Evaluation of Machine Learning Algorithms for Surface Water Extraction in a Landsat 8 Scene of Nepal.

Sensors (Basel, Switzerland)·2019
Same author

Evaluation of Water Indices for Surface Water Extraction in a Landsat 8 Scene of Nepal.

Sensors (Basel, Switzerland)·2018
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Feb 14, 2026

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method
07:37

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method

Published on: January 16, 2019

10.2K

An Exploratory Study on Imaging Resolution, Operational Parameters, and Measurement Uncertainty in UAV-Based Crack

Suk Bae Lee1, Dong Ha Lee2, Jisung Kim3

  • 1Department of Civil & Infrastructure Engineering, College of Construction and Environmental Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
Summary
This summary is machine-generated.

Unmanned aerial vehicle (UAV) crack inspections face efficiency limits due to resolution trade-offs. This study reveals significant pixel-level uncertainty for thin cracks, impacting accurate interpretation and inspection planning.

Keywords:
GSDUAV inspectioncrack detectionflight efficiency

More Related Videos

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.8K
Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons
14:02

Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons

Published on: October 31, 2020

6.3K

Related Experiment Videos

Last Updated: Feb 14, 2026

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method
07:37

Full-field Strain Measurements for Microstructurally Small Fatigue Crack Propagation Using Digital Image Correlation Method

Published on: January 16, 2019

10.2K
Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.8K
Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons
14:02

Super-Resolution Imaging to Study Co-Localization of Proteins and Synaptic Markers in Primary Neurons

Published on: October 31, 2020

6.3K

Area of Science:

  • Civil Engineering
  • Geospatial Technology
  • Structural Health Monitoring

Background:

  • Unmanned aerial vehicles (UAVs) are vital for inspecting civil infrastructure.
  • Crack interpretation from UAV imagery presents challenges in balancing resolution, efficiency, and accuracy.
  • Higher resolution imaging often leads to increased data processing and reduced operational efficiency.

Purpose of the Study:

  • To conduct a measurement-oriented analysis of UAV-based crack inspection.
  • To explore the relationships between flight parameters, image acquisition, and processing effort.
  • To investigate pixel-level uncertainty in crack thickness representation near the resolution limit.

Main Methods:

  • Empirical UAV flight experiments were conducted under controlled conditions.
  • Relationships between flight distance, ground sampling distance (GSD), image quantity, and processing effort were examined.
  • A dataset-based segmentation analysis assessed pixel-level uncertainty for crack representation.

Main Results:

  • Flight distance and GSD exhibit expected geometric correlations.
  • Image quantity and processing effort are influenced by complex, interacting factors beyond just resolution.
  • Thin cracks, represented by few pixels, show considerable segmentation uncertainty.

Conclusions:

  • UAV-based crack inspection requires careful consideration of measurement uncertainty and operational trade-offs.
  • Intrinsic limitations exist in image-based crack interpretation, particularly for fine crack features.
  • Optimizing UAV inspection strategies necessitates understanding these resolution-dependent uncertainties.