Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...

Design Example: Measuring Distance Between Two Points with Obstructions

Design Example: Measuring Distance Between Two Points with Obstructions

When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...

Difference from Background: Limit of Detection

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...

Leveling Equipment

Leveling Equipment

As leveling involves measuring vertical distances relative to a horizontal line of sight, it requires a graduated rod, called a level rod, for vertical measurements and an instrument called a level for a horizontal sight line. A level includes a high-powered telescope with a mechanism for leveling to ensure the line of sight is horizontal when the bubble in the spirit level is centered. Leveling rods, made of wood, metal, or fiberglass, are graduated in feet or meters and commonly used in two-...

You might also read

Related Articles

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

Sort by

Same author

Correction: Chen et al. HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm. <i>Sensors</i> 2024, <i>24</i>, 2170.

Sensors (Basel, Switzerland)·2024

Same author

HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm.

Sensors (Basel, Switzerland)·2024

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 22, 2025

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

A Flexible Baseline Measuring System Based on Optics for Airborne DPOS.

Yanhong Liu¹, Wen Ye², Bo Wang¹

¹Research Institute for Frontier Science, Beihang University, Beijing 100191, China.

Sensors (Basel, Switzerland)

|August 28, 2021

Summary

This study introduces an optical system to measure flexible baselines in aerial remote sensing, improving interferometric synthetic aperture radar (InSAR) imaging quality. The system accurately tracks wing deformation, enhancing motion compensation for multi-node sensors.

Keywords:

aerial remote sensing distributed position and orientation system flexible baseline measurement

More Related Videos

Scanning Light Scattering Profiler SLPS Based Methodology to Quantitatively Evaluate Forward and Backward Light Scattering from Intraocular Lenses

Scanning Light Scattering Profiler SLPS Based Methodology to Quantitatively Evaluate Forward and Backward Light Scattering from Intraocular Lenses

Published on: June 6, 2017

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

Related Experiment Videos

Last Updated: Oct 22, 2025

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

Scanning Light Scattering Profiler SLPS Based Methodology to Quantitatively Evaluate Forward and Backward Light Scattering from Intraocular Lenses

Scanning Light Scattering Profiler SLPS Based Methodology to Quantitatively Evaluate Forward and Backward Light Scattering from Intraocular Lenses

Published on: June 6, 2017

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

Area of Science:

Aerial remote sensing
Geomatics engineering
Optical metrology

Background:

Three-dimensional imaging using multi-node interferometric synthetic aperture radar (InSAR) is advancing aerial remote sensing.
Accurate motion compensation is crucial for InSAR, relying on multi-node motion information.
Wing deformation in aerial platforms alters the relative spatial relationship of sensor nodes, degrading transfer alignment accuracy and impacting imaging quality.

Purpose of the Study:

To propose and validate a novel flexible baseline measuring system for multi-node InSAR.
To address the challenge of modeling wing deformation in aerial remote sensing platforms.
To enhance the accuracy of motion compensation and improve the imaging quality of InSAR systems.

Main Methods:

Development of a non-contact optical measurement system for flexible baseline determination.
Integration of the optical system with distributed position and orientation systems (DPOS) for InSAR applications.
Laboratory-based accuracy testing under static and dynamic conditions.

Main Results:

The proposed optical system enables non-contact measurement of the flexible baseline.
It effectively overcomes the limitations of complex wing deformation modeling.
Laboratory tests demonstrated high measurement accuracy: <0.3 mm (static) and <0.67 mm (dynamic).

Conclusions:

The flexible baseline measuring system significantly improves the accuracy of motion compensation in multi-node InSAR.
This technology enhances interferometric phase error compensation, leading to superior aerial remote sensing imaging quality.
The non-contact optical approach offers a practical solution for managing baseline variations caused by platform deformation.