Automated scene generated background context for near-nadir look angles

Jonathan D. Tucker; S. Robert Stanfill

doi:10.1117/12.2221949

13 May 2016 Automated scene generated background context for near-nadir look angles

Jonathan D. Tucker, S. Robert Stanfill

Proceedings Volume 9841, Geospatial Informatics, Fusion, and Motion Video Analytics VI; 98410B (2016) https://doi.org/10.1117/12.2221949
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

Multi-INT fusion of GEOINT and IMINT can enable performance optimization of target detection and target tracking problem domains¹, amongst others. Contextual information, which defines the relationship of foreground to background scene content, is a source of GEOINT for which various online repositories exist today including but not limited to the following: Open Street Maps (OSM)² and the United States Geological Survey (USGS)³. However, as the nature of the world’s landscape is dynamic and ever-changing, such contextual information can easily become stagnant and irrelevant if not maintained. In this paper we discuss our approach to providing the latest relevant context by performing automated scene generated background context segmentation and classification for near-nadir look angles for the purpose of defining roadways or parking lots, buildings, and natural areas. This information can be used in a variety of ways including augmenting context data from repositories, performing mission pre-planning, and for real-time missions such that GEOINT and IMINT fusion can occur and enable significant performance advantages in target detection and tracking applications in all areas of the world.

Citation Download Citation

Jonathan D. Tucker and S. Robert Stanfill "Automated scene generated background context for near-nadir look angles", Proc. SPIE 9841, Geospatial Informatics, Fusion, and Motion Video Analytics VI, 98410B (13 May 2016); https://doi.org/10.1117/12.2221949

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available