Title :
Overhead-Based Image and Video Geo-localization Framework
Author :
Hammoud, Riad I. ; Kuzdeba, Scott A. ; Berard, Brian ; Tom, Victor ; Ivey, Richard ; Bostwick, Renu ; HandUber, Jason ; Vinciguerra, Lori ; Shnidman, Nathan ; Smiley, Byron
Author_Institution :
BAE Syst., Burlington, MA, USA
Abstract :
This paper presents a geo-localization framework of street-level outdoor images using multiple sources of overhead reference imagery including LIDAR, Digital Elevation Maps and Multi-Spectral Land Cover/Use imagery. We describe five different matchers and an adaptive linear fusion process which combines individual matchers´ probability maps into a single map. These matchers exploit mountain elevation profiles, rendered camera views, landmarks, landuse classes and building heights. We successfully validated our framework on 100 queries with geographic truth in two world regions (each of 10, 000km2) in the USA.
Keywords :
digital elevation models; geographic information systems; geophysical image processing; optical radar; probability; rendering (computer graphics); terrain mapping; video signal processing; LIDAR; adaptive linear fusion process; building heights; digital elevation maps; individual matcher probability maps; landmarks; landuse classes; mountain elevation profiles; multispectral land cover/use imagery; overhead reference imagery; overhead-based image geo-localization; overhead-based video geo-localization framework; rendered camera views; street-level outdoor images; Buildings; Cameras; Data mining; Impedance matching; Kernel; Knowledge based systems; Laser radar; fusion; geo-localization; image search; matching;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on
Conference_Location :
Portland, OR
DOI :
10.1109/CVPRW.2013.55
