Application of an image feature network-based object recognition algorithm to aircraft detection and classification

Jeremy Straub

doi:10.1117/12.2050172

13 June 2014 Application of an image feature network-based object recognition algorithm to aircraft detection and classification

Jeremy Straub

Author Affiliations +

Proceedings Volume 9090, Automatic Target Recognition XXIV; 909005 (2014) https://doi.org/10.1117/12.2050172
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

Abstract

A network created from the distance-values representing the spacing between points identified by an image feature detection algorithm can be utilized for object classification. This paper presents work on the application of this algorithm to the problem of aircraft presence detection and classification. It considers algorithm performance across a variety of scenarios, including instances where the sky has different characteristics, detection and characterization from different levels of image resolution and detection and characterization where multiple craft are present in a single frame. An extension to the base algorithm, which determines the orientation of a detected aircraft is also presented.

Citation Download Citation

Jeremy Straub "Application of an image feature network-based object recognition algorithm to aircraft detection and classification", Proc. SPIE 9090, Automatic Target Recognition XXIV, 909005 (13 June 2014); https://doi.org/10.1117/12.2050172

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