Name
Abstract | ||
|---|---|---|
A new 3D acquisition and processing procedure to map RGB, thermal IR and near infrared images (NIR) on a detailed 3D model of a building is presented. The combination and fusion of different data sources allows the generation of 3D thermal data useful for different purposes such as localization, visualization, and analysis of anomalies in contemporary architecture. The classic approach, which is currently used to map IR images on 3D models, is based on the direct registration of each single image by using space resection or homography. This approach is largely time consuming and in many cases suffers from poor object texture. To overcome these drawbacks, a "bi-camera" system coupling a thermal IR camera to a RGB camera has been setup. The second sensor is used to orient the "bi-camera" through a photogrammetric network also including free-handled camera stations to strengthen the block geometry. In many cases the bundle adjustment can be executed through a procedure for automatic extraction of tie points. Terrestrial laser scanning is adopted to retrieve the 3D model building. The integration of a low-cost NIR camera accumulates further radiometric information on the final 3D model. The use of such a sensor has not been exploited until now to assess the conservation state of buildings. Here some interesting findings from this kind of analysis are reported. The paper shows the methodology and its experimental application to a couple of buildings in the main Campus of Politecnico di Milano University, where IR thermography has previously been carried out for conservation and maintenance purposes. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.3390/rs3091847 | REMOTE SENSING |
Keywords | Field | DocType |
terrestrial laser scanning,thermal infrared imagery,near infrared imagery,RGB imagery,sensor fusion | Computer vision,Photogrammetry,Thermography,Visualization,Bundle adjustment,Remote sensing,Model building,Sensor fusion,Homography,RGB color model,Artificial intelligence,Geology | Journal |
Volume | Issue | ISSN |
3 | 9 | 2072-4292 |
Citations | PageRank | References |
9 | 1.04 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| mario ivan alba | 1 | 9 | 1.04 |
| Luigi Barazzetti | 2 | 39 | 11.39 |
| Marco Scaioni | 3 | 97 | 16.34 |
| elisabetta rosina | 4 | 9 | 1.04 |
| Mattia Previtali | 5 | 26 | 6.07 |