Paper Info
Title
Monitoring structural damages in big industrial plants with UAV images
Abstract
The monitoring of possible damages on industrial plants from aerial images represents a challenging task. In this work, we present a methodology to monitor the changes due to corrosion damages on industrial plants by using Unmanned Aerial Vehicle (UAV) images. First, a couple of images acquired at two different times is considered and aligned to each other through a geometric transformation. Then, the possible changes are highlighted in both images by exploiting a simple automatic thresholding technique based on the assumption that damages have usually different aspects with respect to the surrounding structures. At the end, the images are compared to obtain an estimation of the damage growth. The methodology has been tested on extremely high resolution images obtained with different acquisition conditions. The achieved results demonstrate the precision of the method and suggest the possible use of such a technique in practical applications.
Year
DOI
Venue
2014
10.1109/IGARSS.2014.6947606
Geoscience and Remote Sensing Symposium
Keywords
Field
DocType
autonomous aerial vehicles,computerised monitoring,condition monitoring,corrosion,geophysical image processing,image segmentation,industrial plants,structural engineering computing,aerial images,automatic thresholding technique,corrosion,damage growth estimation,geometric transformation,image acquisition,industrial plants,structural damages monitoring,unmanned aerial vehicle,unmanned aerial vehicles,Aerial inspection,damage monitoring,industrial plants,scale invariant features transform (SIFT),unmanned aerial vehicles (UAV)
Computer vision,Damages,Computer science,Remote sensing,Geometric transformation,Artificial intelligence,Thresholding
Conference
ISSN
Citations 
PageRank 
2153-6996
1
0.41
References 
Authors
2
2
Name
Order
Citations
PageRank
Thomas Moranduzzo1603.87
Farid Melgani2110080.98