loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Dorina Kabakchieva 1 ; Hristo Kabakchiev 2 ; Vera Behar 3 and Ivan Garvanov 4

Affiliations: 1 University of National and World Economy, Bulgaria ; 2 Sofia University St. Kliment Ohridski, Bulgaria ; 3 Institute of Information & Communication Technologie, Bulgaria ; 4 University of Library Studies & Information Technologies,, Bulgaria

Keyword(s): Radar target classification, Data mining

Abstract: The purpose of this paper is to present the research results from a study focused on the possibilities for implementing data mining approach for classification of radar detected marine targets. The study is based on experimental data collected by researchers from Birmingham University with Bistatic Forward Scattering Radar. The data is further processed by using a CA CFAR approach for radar detection and target specific estimation, proposed by Sofia University team. Rough estimation of the target parameters in time domain in implemented, based on the hypothesis that the number of detected samples received from the target defines the target projection (length) and the energy reflected from the target. The classification models for predicting the class of the detected marine targets, achieved with selected algorithms in data mining software WEKA, for two values of the predicted variable (the marine target class), are described in the paper. The results from the evaluation of the models are compared with the results received in our previous paper, concerning classifiers achieved for predicted target variable with three values. The proposed hypothesis that the decreased number of values for the predicted variable will lead to achieving classifiers with better quality is validated. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.149.27.33

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kabakchieva, D.; Kabakchiev, H.; Behar, V. and Garvanov, I. (2013). FSR MARINE TARGET CLASSIFICATION WITH DATA MINING APPROACH. In Proceedings of the Second International Conference on Telecommunications and Remote Sensing - ICTRS; ISBN 978-989-8565-57-0, SciTePress, pages 145-152. DOI: 10.5220/0004786501450152

@conference{ictrs13,
author={Dorina Kabakchieva. and Hristo Kabakchiev. and Vera Behar. and Ivan Garvanov.},
title={FSR MARINE TARGET CLASSIFICATION WITH DATA MINING APPROACH},
booktitle={Proceedings of the Second International Conference on Telecommunications and Remote Sensing - ICTRS},
year={2013},
pages={145-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004786501450152},
isbn={978-989-8565-57-0},
}

TY - CONF

JO - Proceedings of the Second International Conference on Telecommunications and Remote Sensing - ICTRS
TI - FSR MARINE TARGET CLASSIFICATION WITH DATA MINING APPROACH
SN - 978-989-8565-57-0
AU - Kabakchieva, D.
AU - Kabakchiev, H.
AU - Behar, V.
AU - Garvanov, I.
PY - 2013
SP - 145
EP - 152
DO - 10.5220/0004786501450152
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic