Overhead-Based Image and Video Geo-Localization Framework (Open Access)

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, 000km squared) in the USA.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 12, 2013
Accession Number
AD1039707

Entities

People

  • Brian Berard
  • Byron Smiley
  • Jason Handuber
  • Lori Vinciguerra
  • Nathan Shnidman
  • Renu Bostwick
  • Riad I. Hammoud
  • Richard G. Ivey
  • Scott A. Kuzdeba
  • Victor Tom

Organizations

  • BAE Systems

Tags

DTIC Thesaurus Topics

  • Air Force
  • Atmospheric Attenuation
  • Classification
  • Coastal Regions
  • Computer Vision
  • Conversion
  • Databases
  • Elevation
  • Feedback
  • Geographic Regions
  • Military Research
  • Mountains
  • Pattern Recognition
  • Probability
  • Regions
  • Terrain
  • United States

Fields of Study

  • Computer science

Readers

  • Computer Vision.