Synergetic Integration Of Thermal And Visual Images For Computer Vision

N. Nandhakumar; J. K. Aggarwal

doi:10.1117/12.940555

24 September 1987 Synergetic Integration Of Thermal And Visual Images For Computer Vision

N. Nandhakumar, J. K. Aggarwal

Proceedings Volume 0782, Infrared Sensors and Sensor Fusion; (1987) https://doi.org/10.1117/12.940555
Event: 1987 Technical Symposium Southeast on Optics, Electro-Optics, and Sensors, 1987, Orlando, FL, United States

Abstract

This paper presents a new computer vision technique based on multisensor fusion for interpreting images of outdoor scenes. The technique is based on the synergetic integration of information derived from thermal and visual sensors. Information integration is implemented at different levels of abstraction in the interpretation hierarchy i.e., at the pixel and at the symbolic levels. The approach establishes features based on surface heat flux estimates that describe intrinsic thermal behavior of imaged objects. Heuristic rules are employed in a decision tree classifier to categorize imaged objects as being either vegetation, building, pavement or a vehicle.

Citation Download Citation

N. Nandhakumar and J. K. Aggarwal "Synergetic Integration Of Thermal And Visual Images For Computer Vision", Proc. SPIE 0782, Infrared Sensors and Sensor Fusion, (24 September 1987); https://doi.org/10.1117/12.940555

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