Small targets in LADAR images using fuzzy clustering

Author

Lim, Gek ; Bezdek, James C.

Author_Institution

Div. of Comput. Sci., Univ. of West Florida, Pensacola, FL, USA

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

61

Abstract

We describe an automatic target recognition system for detecting targets in temporal sequences of intensity LADAR images. The system first finds all objects in the images using a method that finds blobs and curves. Then features of the objects are extracted. Next fuzzy c-means (FCM) is used to cluster the objects. Finally, FCM prototypes for each class of objects are relabeled with the training data and used to classify unknown objects using a nearest prototype classifier

Keywords

feature extraction; fuzzy set theory; image sequences; object detection; object recognition; optical radar; pattern classification; LADAR images; automatic target recognition system; blobs; curves; fuzzy c-means; fuzzy clustering; nearest prototype classifier; small targets; temporal sequences; training data; unknown objects; Computer science; Data mining; Feature extraction; Fuzzy logic; Laser radar; Object detection; Pixel; Prototypes; Speckle; Target recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7584

Print_ISBN

0-7803-4863-X

Type

conf

DOI

10.1109/FUZZY.1998.687459

Filename

687459