Performance comparison of two digital scene-matching processes: algorithmic and artificial neural-network-based

Demetrios Sapounas; Robert L. McClintock; Robert LaFollette

doi:10.1117/12.60569

1 July 1992 Performance comparison of two digital scene-matching processes: algorithmic and artificial neural-network-based

Demetrios Sapounas, Robert L. McClintock, Robert LaFollette

Author Affiliations +

Proceedings Volume 1702, Hybrid Image and Signal Processing III; (1992) https://doi.org/10.1117/12.60569
Event: Aerospace Sensing, 1992, Orlando, FL, United States

Abstract

Many airborne survey and reconnaissance systems require very precise location or position fix information in order to correlate mineral, agricultural, oil exploration, or highway construction survey data with fixed geodetic information in a geographic information database. This paper describes work in progress that: (1) compares the correlation performance of an existing scene matching system with that of an artificial neural network based system; (2) determines the performance on scaled, rotated images; and (3) compensates for temporal variations in image gray scale and noise levels. The goal of this research effort is to demonstrate with artificial neural networks performance improvements in robustness, flexibility of use, and speed compared to the current digital correlation system.

Citation Download Citation

Demetrios Sapounas, Robert L. McClintock, and Robert LaFollette "Performance comparison of two digital scene-matching processes: algorithmic and artificial neural-network-based", Proc. SPIE 1702, Hybrid Image and Signal Processing III, (1 July 1992); https://doi.org/10.1117/12.60569

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