  UAVs showed great efficiency on scanning bridge decks surface by taking a
single shot or through stitching a couple of overlaid still images. If
potential surface deficits are identified through aerial images, subsequent
ground inspections can be scheduled. This two-phase inspection procedure showed
great potentials on increasing field inspection productivity. Since aerial and
ground inspection images are taken at different scales, a tool to properly fuse
these multi-scale images is needed for improving the current bridge deck
condition monitoring practice. In response to this need a data fusion platform
is introduced in this study. Using this proposed platform multi-scale images
taken by different inspection devices can be fused through geo-referencing. As
part of the platform, a web-based user interface is developed to organize and
visualize those images with inspection notes under users queries. For
illustration purpose, a case study involving multi-scale optical and infrared
images from UAV and ground inspector, and its implementation using the proposed
platform is presented.
