Decision fusion with reliabilities in multisource data classification

Byeungwoo Jeon; David A. Landgrebe

doi:10.1109/ICSMC.1992.271704

Decision fusion with reliabilities in multisource data classification

Byeungwoo Jeon, David A. Landgrebe

Purdue University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this paper, a new multisource classifier which is based on a fusion of the class decisions of each separate data set is proposed. Each data set is separately fed into the local classifier and a final classification is performed by summarizing these local class decisions. An optimum decision fusion rule based on the minimum expected cost is derived. This new decision fusion rule can handle not only data set reliabilities but also classwise reliabilities of each data set. Classification experiments with two remotely sensed Thematic Mapper (TM) data sets show promising improvement over conventional multisource classification algorithms.

Original language	English
Title of host publication	1992 IEEE International Conference on Systems, Man, and Cybernetics
Subtitle of host publication	Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	617-622
Number of pages	6
ISBN (Electronic)	0780307208, 9780780307209
DOIs	https://doi.org/10.1109/ICSMC.1992.271704
State	Published - 1992
Externally published	Yes
Event	IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992 - Chicago, United States Duration: 18 Oct 1992 → 21 Oct 1992

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	1992-January
ISSN (Print)	1062-922X

Conference

Conference	IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992
Country/Territory	United States
City	Chicago
Period	18/10/92 → 21/10/92

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10.1109/ICSMC.1992.271704

Cite this

Jeon, B., & Landgrebe, D. A. (1992). Decision fusion with reliabilities in multisource data classification. In 1992 IEEE International Conference on Systems, Man, and Cybernetics: Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992 (pp. 617-622). Article 271704 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 1992-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSMC.1992.271704

Jeon, Byeungwoo ; Landgrebe, David A. / Decision fusion with reliabilities in multisource data classification. 1992 IEEE International Conference on Systems, Man, and Cybernetics: Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992. Institute of Electrical and Electronics Engineers Inc., 1992. pp. 617-622 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

@inproceedings{e71dde404b9a4d54bf05675d1ac56fb1,

title = "Decision fusion with reliabilities in multisource data classification",

abstract = "In this paper, a new multisource classifier which is based on a fusion of the class decisions of each separate data set is proposed. Each data set is separately fed into the local classifier and a final classification is performed by summarizing these local class decisions. An optimum decision fusion rule based on the minimum expected cost is derived. This new decision fusion rule can handle not only data set reliabilities but also classwise reliabilities of each data set. Classification experiments with two remotely sensed Thematic Mapper (TM) data sets show promising improvement over conventional multisource classification algorithms.",

author = "Byeungwoo Jeon and Landgrebe, \{David A.\}",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992 ; Conference date: 18-10-1992 Through 21-10-1992",

year = "1992",

doi = "10.1109/ICSMC.1992.271704",

language = "English",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "617--622",

booktitle = "1992 IEEE International Conference on Systems, Man, and Cybernetics",

}

Jeon, B & Landgrebe, DA 1992, Decision fusion with reliabilities in multisource data classification. in 1992 IEEE International Conference on Systems, Man, and Cybernetics: Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992., 271704, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, vol. 1992-January, Institute of Electrical and Electronics Engineers Inc., pp. 617-622, IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992, Chicago, United States, 18/10/92. https://doi.org/10.1109/ICSMC.1992.271704

Decision fusion with reliabilities in multisource data classification. / Jeon, Byeungwoo; Landgrebe, David A.
1992 IEEE International Conference on Systems, Man, and Cybernetics: Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992. Institute of Electrical and Electronics Engineers Inc., 1992. p. 617-622 271704 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 1992-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Jeon, Byeungwoo

AU - Landgrebe, David A.

PY - 1992

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N2 - In this paper, a new multisource classifier which is based on a fusion of the class decisions of each separate data set is proposed. Each data set is separately fed into the local classifier and a final classification is performed by summarizing these local class decisions. An optimum decision fusion rule based on the minimum expected cost is derived. This new decision fusion rule can handle not only data set reliabilities but also classwise reliabilities of each data set. Classification experiments with two remotely sensed Thematic Mapper (TM) data sets show promising improvement over conventional multisource classification algorithms.

AB - In this paper, a new multisource classifier which is based on a fusion of the class decisions of each separate data set is proposed. Each data set is separately fed into the local classifier and a final classification is performed by summarizing these local class decisions. An optimum decision fusion rule based on the minimum expected cost is derived. This new decision fusion rule can handle not only data set reliabilities but also classwise reliabilities of each data set. Classification experiments with two remotely sensed Thematic Mapper (TM) data sets show promising improvement over conventional multisource classification algorithms.

UR - https://www.scopus.com/pages/publications/84960384686

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DO - 10.1109/ICSMC.1992.271704

M3 - Conference contribution

AN - SCOPUS:84960384686

T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 617

EP - 622

BT - 1992 IEEE International Conference on Systems, Man, and Cybernetics

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Systems, Man, and Cybernetics, SMC 1992

Y2 - 18 October 1992 through 21 October 1992

ER -

Jeon B, Landgrebe DA. Decision fusion with reliabilities in multisource data classification. In 1992 IEEE International Conference on Systems, Man, and Cybernetics: Emergent Innovations in Information Transfer Processing and Decision Making, SMC 1992. Institute of Electrical and Electronics Engineers Inc. 1992. p. 617-622. 271704. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/ICSMC.1992.271704

Decision fusion with reliabilities in multisource data classification

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