Translator Disclaimer
28 July 1997 Analyzing target recognition issues using the informational difference concept
Author Affiliations +
Abstract
A model for analyzing issues involving monospectral target recognition is presented. These issues include modeling target detection, recognition and identification thresholds, and predicting the functional parametric dependencies of the results of observation experiments by human observers. The model makes extensive use of concepts used in Information Theory. An image of a certain scene is treated as a sample of an entire set of images of that particular scene. A difference measure, called the Informational Difference (InDif) between two image sets is defined. The main assertion is that accomplishing target recognition tasks is equivalent to setting thresholds for the InDif. The applicability of the InDif to the performance of the Human Visual System (HVS) is shown both analytically, in very simple situations, and in computer calculations involving noisy images. Finally, a single framework for dealing with the HVS and Artificial Intelligence systems is target recognition applications is shown to result naturally from the InDif formalism.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dan Sheffer and Dov Ingman "Analyzing target recognition issues using the informational difference concept", Proc. SPIE 3068, Signal Processing, Sensor Fusion, and Target Recognition VI, (28 July 1997); https://doi.org/10.1117/12.280794
PROCEEDINGS
12 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

Automated Image Understanding
Proceedings of SPIE (February 18 1988)
Multisensor Image Processing Integration For Missile Guidance
Proceedings of SPIE (December 22 1980)
Pixel-registered image fusion
Proceedings of SPIE (July 04 1995)
Uncooled thermal imaging sensor for UAV applications
Proceedings of SPIE (October 09 2001)

Back to Top