Artificial immune systems and aerial image segmentation

Author

McCoy, David F. ; Devarajan, Venkat

Author_Institution

Commercial Remote Sensing Syst., Raytheon E-Syst., Garland, TX., USA

Volume

1

fYear

1997

fDate

12-15 Oct 1997

Firstpage

867

Abstract

This paper describes our initial investigations in applying artificial immune systems to feature segmentation in remotely sensed images. The current generation of commercial imaging satellites provides increased opportunities for automated image analysis due to the large volume of high resolution imagery they will produce. Artificial immune systems (AIS) are successful in other pattern recognition tasks and have several similarities to the aerial image classification problem. We use an AIS for road pixel identification and observe several areas for further development

Keywords

adaptive systems; image classification; image segmentation; probability; remote sensing; adaptive pattern recognition; aerial image classification; aerial image segmentation; artificial immune systems; automated image analysis; image segmentation; pattern recognition; probability; remote sensing; Artificial immune systems; High-resolution imaging; Image analysis; Image classification; Image generation; Image resolution; Image segmentation; Pattern recognition; Roads; Satellites;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.626211

Filename

626211