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

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

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...

You might also read

Related Articles

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

Sort by

Same author

An On-Orbit Star Tracker Benchmark for Resident Space Object Detection and Attitude Estimation.

Scientific data·2026

Same author

Liquid-based encapsulation for implantable bioelectronics across broad pH environments.

Nature communications·2025

Same author

YUTO MMS: A comprehensive SLAM dataset for urban mobile mapping with tilted LiDAR and panoramic camera integration.

The International journal of robotics research·2025

Same author

An Adaptive Refinement Scheme for Depth Estimation Networks.

Sensors (Basel, Switzerland)·2022

Same author

Quantifying Two-Dimensional Surface Displacements Using High-Resolution Cosmo-SkyMed, TerraSAR-X and Medium-Resolution Sentinel-1 SAR Interferometry: Case Study for the Tengiz Oilfield.

Sensors (Basel, Switzerland)·2022

Same author

Unmanned aerial image dataset: Ready for 3D reconstruction.

Data in brief·2019

Search research articles

Related Experiment Video

Updated: Mar 19, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Matching Aerial Images to 3D Building Models Using Context-Based Geometric Hashing.

Jaewook Jung¹, Gunho Sohn², Kiin Bang³

¹Department of Earth and Space Science and Engineering, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada. jwjung@yorku.ca.

Sensors (Basel, Switzerland)

|June 25, 2016

Summary

This summary is machine-generated.

Continuous city modeling requires updating virtual city models with new data. This study introduces a context-based geometric hashing method for accurate model-to-image registration, improving urban data alignment.

Keywords:

3D building models aerial imagery geometric hashing model to image matching registration

More Related Videos

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

Published on: April 15, 2021

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Mar 19, 2026

Photorealistic Learned Landscapes for Augmented Reality

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

A Field Primer for Monitoring Benthic Ecosystems Using Structure-From-Motion Photogrammetry

Published on: April 15, 2021

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Area of Science:

Geoinformatics
Computer Vision
Urban Planning

Background:

Cities are dynamic, requiring continuous updates to virtual models for applications like urban planning and autonomous navigation.
Accurate registration of remotely sensed data with existing 3D building models is crucial for continuous city modeling.
Manual registration processes are labor-intensive and time-consuming.

Purpose of the Study:

To present a novel model-to-image registration method for aligning single images with existing 3D building models.
To improve the accuracy and efficiency of updating virtual city models.
To facilitate continuous city modeling by automating the registration process.

Main Methods:

Feature extraction using edged corner features and contextual relations within building roofs.
Similarity measure and matching using geometric hashing to find candidate matches.
Estimation of exterior orientation parameters (EOPs) using least squares adjustment based on collinearity equations.

Main Results:

The proposed context-based geometric hashing (CGH) method effectively registers single images with 3D building models.
Accurate EOPs for airborne images were achieved.
The method offers a viable alternative to labor-intensive manual registration.

Conclusions:

The CGH method provides an accurate and efficient approach for model-to-image registration in continuous city modeling.
This automated registration significantly contributes to the dynamic updating of virtual city environments.
The findings support the development of more responsive and accurate urban planning and navigation systems.