Absolute classification with unsupervised clustering

Byeungwoo Jeon; D. A. Landgrebe

doi:10.1109/IGARSS.1992.578647

Absolute classification with unsupervised clustering

Byeungwoo Jeon
, D. A. Landgrebe

Purdue University

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

1 Scopus citations

Abstract

In this paper, we propose an absolute classification algorithm in which the class definition through training samples or otherwise, is required only for a particular class of interest. The absolute classification is considered as a problem of unsupervised clustering with initially one known cluster. The definitions and statistics of the other classes are automatically developed through the weighted unsupervised clustering procedure which is developed to keep the cluster corresponding to the "class of interest" from losing its identity as fhe "class of interest". Once all the classes are developed, conventional relative classifier such as the maximum likelihood classifier is used in the classification.

Original language	English
Title of host publication	IGARSS 1992 - International Geoscience and Remote Sensing Symposium
Subtitle of host publication	International Space Year: Space Remote Sensing
Editors	Ruby Williamson, Tammy Stein
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1609-1611
Number of pages	3
ISBN (Electronic)	0780301382
DOIs	https://doi.org/10.1109/IGARSS.1992.578647
State	Published - 1992
Externally published	Yes
Event	12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992 - Houston, United States Duration: 26 May 1992 → 29 May 1992

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2

Conference

Conference	12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992
Country/Territory	United States
City	Houston
Period	26/05/92 → 29/05/92

Access to Document

10.1109/IGARSS.1992.578647

Cite this

Jeon, B., & Landgrebe, D. A. (1992). Absolute classification with unsupervised clustering. In R. Williamson, & T. Stein (Eds.), IGARSS 1992 - International Geoscience and Remote Sensing Symposium: International Space Year: Space Remote Sensing (pp. 1609-1611). Article 578647 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.1992.578647

Jeon, Byeungwoo ; Landgrebe, D. A. / Absolute classification with unsupervised clustering. IGARSS 1992 - International Geoscience and Remote Sensing Symposium: International Space Year: Space Remote Sensing. editor / Ruby Williamson ; Tammy Stein. Institute of Electrical and Electronics Engineers Inc., 1992. pp. 1609-1611 (International Geoscience and Remote Sensing Symposium (IGARSS)).

@inproceedings{86dff80077ce4623a17208a08e328d35,

title = "Absolute classification with unsupervised clustering",

abstract = "In this paper, we propose an absolute classification algorithm in which the class definition through training samples or otherwise, is required only for a particular class of interest. The absolute classification is considered as a problem of unsupervised clustering with initially one known cluster. The definitions and statistics of the other classes are automatically developed through the weighted unsupervised clustering procedure which is developed to keep the cluster corresponding to the {"}class of interest{"} from losing its identity as fhe {"}class of interest{"}. Once all the classes are developed, conventional relative classifier such as the maximum likelihood classifier is used in the classification.",

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

note = "Publisher Copyright: {\textcopyright} IEEE 1992.; 12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992 ; Conference date: 26-05-1992 Through 29-05-1992",

year = "1992",

doi = "10.1109/IGARSS.1992.578647",

language = "English",

series = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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

pages = "1609--1611",

editor = "Ruby Williamson and Tammy Stein",

booktitle = "IGARSS 1992 - International Geoscience and Remote Sensing Symposium",

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Jeon, B & Landgrebe, DA 1992, Absolute classification with unsupervised clustering. in R Williamson & T Stein (eds), IGARSS 1992 - International Geoscience and Remote Sensing Symposium: International Space Year: Space Remote Sensing., 578647, International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2, Institute of Electrical and Electronics Engineers Inc., pp. 1609-1611, 12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992, Houston, United States, 26/05/92. https://doi.org/10.1109/IGARSS.1992.578647

Absolute classification with unsupervised clustering. / Jeon, Byeungwoo; Landgrebe, D. A.
IGARSS 1992 - International Geoscience and Remote Sensing Symposium: International Space Year: Space Remote Sensing. ed. / Ruby Williamson; Tammy Stein. Institute of Electrical and Electronics Engineers Inc., 1992. p. 1609-1611 578647 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2).

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

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N1 - Publisher Copyright: © IEEE 1992.

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AB - In this paper, we propose an absolute classification algorithm in which the class definition through training samples or otherwise, is required only for a particular class of interest. The absolute classification is considered as a problem of unsupervised clustering with initially one known cluster. The definitions and statistics of the other classes are automatically developed through the weighted unsupervised clustering procedure which is developed to keep the cluster corresponding to the "class of interest" from losing its identity as fhe "class of interest". Once all the classes are developed, conventional relative classifier such as the maximum likelihood classifier is used in the classification.

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DO - 10.1109/IGARSS.1992.578647

M3 - Conference contribution

AN - SCOPUS:84964440069

T3 - International Geoscience and Remote Sensing Symposium (IGARSS)

SP - 1609

EP - 1611

BT - IGARSS 1992 - International Geoscience and Remote Sensing Symposium

A2 - Williamson, Ruby

A2 - Stein, Tammy

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th Annual International Geoscience and Remote Sensing Symposium, IGARSS 1992

Y2 - 26 May 1992 through 29 May 1992

ER -

Jeon B, Landgrebe DA. Absolute classification with unsupervised clustering. In Williamson R, Stein T, editors, IGARSS 1992 - International Geoscience and Remote Sensing Symposium: International Space Year: Space Remote Sensing. Institute of Electrical and Electronics Engineers Inc. 1992. p. 1609-1611. 578647. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS.1992.578647

Absolute classification with unsupervised clustering

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