A fuzzy logic automatic target detection system for LADAR range images

Author

Keller, James M. ; Gader, Paul ; Krishnapuram, Raghu ; Wang, Xiaomei ; Hocaoglu, A. Koksal ; Frigui, Hichem ; Moore, Jerry

Author_Institution

Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., Columbia, MO, USA

Volume

1

fYear

1998

fDate

4-9 May 1998

Firstpage

71

Abstract

Describes a fuzzy logic system that performs end-to-end automatic target detection for LADAR imagery. Images are preprocessed with nonlinear fuzzy filters to remove noise. Several target detectors employing fuzzy and robust statistical methods are used to create pixel-based target confidence values that are fused with the Choquet fuzzy integral. Thresholds are determined from ROC curve analysis on a training set and then the detectors are run on a test set. Features are extracted from detected target windows and final target detection is performed by a neural network. Results on the training and test set are analyzed

Keywords

feature extraction; filtering theory; fuzzy logic; fuzzy set theory; neural nets; object detection; optical radar; radar target recognition; statistical analysis; Choquet fuzzy integral; LADAR range images; ROC curve analysis; fuzzy logic automatic target detection system; nonlinear fuzzy filters; pixel-based target confidence values; statistical methods; Detectors; Feature extraction; Filters; Fuzzy logic; Laser radar; Neural networks; Noise robustness; Object detection; Statistical analysis; Testing;

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.1998.687461

Filename

687461