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

Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
Design Consideration01:22

Design Consideration

Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key aspect...
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point served as...
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
Common Leveling Mistakes and Errors01:17

Common Leveling Mistakes and Errors

A survey team is tasked with determining the elevation difference between points Point A and Point B, separated by uneven terrain. They use a leveling instrument and a leveling rod.Common MistakesMisreading the Rod: During a backsight reading at Point A, the instrumentman observes the rod partially obscured by tall grass. Instead of reading 1.135 m, they mistakenly record 1.735 m due to the misalignment of the crosshair with the wrong graduation. This error adds 0.600 m to all subsequent...
Simplified Synchronous Machine Model01:30

Simplified Synchronous Machine Model

The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
In this model, each generator is connected to a...

You might also read

Related Articles

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

Sort by
Same author

Biomimetic D-A1-A2 Organic Cages with Recombination-Suppressed Sequential Charge Transfer for Hydrogen Peroxide Photosynthesis.

Journal of the American Chemical Society·2026
Same author

Hyperhomocysteinemia promotes lipid deposition in skeletal muscle.

Frontiers in neurology·2026
Same author

A Highly Sensitive, Ultrawide-Range Temperature-Pressure Dual-Mode Sensing Platform for Battery Health and Marine Monitoring.

ACS applied materials & interfaces·2026
Same author

Genotype-environment interaction drives the onset of riboflavin-responsive multiple acyl-CoA dehydrogenase deficiency in carriers of single heterozygous ETFDH variants.

Cell communication and signaling : CCS·2026
Same author

Waterproof Pressure Sensor Leveraging Nano-/Microdeformation of Microstructure under Pressure for Collecting Wide-Range Human Physiological Signals Underwater Stably.

ACS sensors·2026
Same author

TGM2 drives microglial senescence by inhibiting autophagy via the PI3K/AKT/mTORC1 pathway.

Free radical biology & medicine·2026

Related Experiment Video

Updated: May 28, 2026

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

Scale-Constrained Synthetic Construction for Small-Sample Satellite Power Tower Damage Assessment Under Cross-Scale

Yulong Liu1, Qi Wen2, Jianghong Zhao1

  • 1School of Geomatics and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102627, China.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary

This study introduces a novel framework for constructing realistic power tower damage data for satellite analysis. It improves disaster response by overcoming data scarcity and scale mismatches in remote sensing imagery.

Keywords:
cross-resolution mismatchdata augmentationdiffusion modelspower tower damageremote sensing

More Related Videos

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

Related Experiment Videos

Last Updated: May 28, 2026

Data Acquisition Protocol for Determining Embedded Sensitivity Functions
07:46

Data Acquisition Protocol for Determining Embedded Sensitivity Functions

Published on: April 20, 2016

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
06:55

Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

Published on: August 5, 2016

Area of Science:

  • Remote Sensing
  • Disaster Management
  • Computer Vision

Background:

  • Satellite imagery is crucial for rapid disaster response, particularly for assessing power tower damage.
  • Existing data augmentation methods struggle with limited damage samples and scale discrepancies between UAV and satellite data.
  • Lack of control over object scale and domain differences hinders the reliability of current augmentation techniques.

Purpose of the Study:

  • To develop a data construction framework that addresses scale mismatch and data scarcity for satellite-based power tower damage assessment.
  • To improve the reliability and realism of synthetic damage samples for training machine learning models.
  • To enhance the accuracy of disaster response by providing better training data for change detection.

Main Methods:

  • Proposed a scale-constrained and frequency-adaptive diffusion-based data construction framework.
  • Utilized scale-aware instance embedding to generate samples matching satellite-scale statistics.
  • Incorporated frequency-domain adaptation to minimize spectral and textural discrepancies between UAV and satellite imagery.
  • Trained a diffusion-based inpainting model on the constructed dataset for damage reconstruction.

Main Results:

  • The proposed method generated training samples better aligned with real satellite-scale distributions.
  • Demonstrated reduction in geometric and spectral-textural inconsistencies between different data sources.
  • Showcased improved boundary continuity and structural realism in reconstructed damage under cross-resolution conditions.
  • Feature statistical analysis and downstream change detection validation confirmed the method's effectiveness.

Conclusions:

  • The novel framework effectively constructs realistic power tower damage data for satellite analysis.
  • The approach mitigates challenges of data scarcity and cross-scale mismatch in remote sensing.
  • This work significantly advances the capability for rapid and accurate disaster response through improved satellite imagery analysis.