Dalgacik dönüşümü ve ROC analizi yardi̇mi̇yla silindirik hedeflerin siniflandirilmasi

Translated title of the contribution: Classification of cylindrical targets by wavelet transform and ROC analysis

Senem Makal*, Lütfiye Durak, Ahmet Kizilay

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A set of features are derived from scattered fields calculated by using the image technique formulation and Method of Moment (MoM) and a database is formed by using two cylindrical targets at certain angles. After the application of wavelet transform for feature extraction from this database, the coefficients of the signal are used as the inputs of the artificial neural networks. The real performances of the networks are investigated by ROC (Receiver Operating Characteristic) analysis. This work aims to diminish the size of the database smaller by wavelet transform for finding the corresponding cylindrical target from the scattered field values.

Translated title of the contributionClassification of cylindrical targets by wavelet transform and ROC analysis
Original languageTurkish
Title of host publication2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU - Aydin, Turkey
Duration: 20 Apr 200822 Apr 2008

Publication series

Name2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU

Conference

Conference2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIU
Country/TerritoryTurkey
CityAydin
Period20/04/0822/04/08

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