Unsupervised, robust estimation-based clustering of remotely sensed images

Nathan S. Netanyahu; James C. Tilton; J. Anthony Gualtieri

Unsupervised, robust estimation-based clustering of remotely sensed images

Nathan S. Netanyahu
, James C. Tilton
, J. Anthony Gualtieri

University of Maryland, College Park

Research output: Contribution to conference › Paper › peer-review

Abstract

Automated image clustering/classification is a task of considerable importance. To apply this task to remotely sensed imagery, we have pursued an unsupervised clustering scheme based on principles of robust (statistical) estimation. A description of the module employed and results obtained are provided in this paper.

Original language	English
Pages	1150-1152
Number of pages	3
State	Published - 1995
Externally published	Yes
Event	Proceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3) - Firenze, Italy Duration: 10 Jul 1995 → 14 Jul 1995

Conference

Conference	Proceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3)
City	Firenze, Italy
Period	10/07/95 → 14/07/95

Cite this

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title = "Unsupervised, robust estimation-based clustering of remotely sensed images",

abstract = "Automated image clustering/classification is a task of considerable importance. To apply this task to remotely sensed imagery, we have pursued an unsupervised clustering scheme based on principles of robust (statistical) estimation. A description of the module employed and results obtained are provided in this paper.",

author = "Netanyahu, \{Nathan S.\} and Tilton, \{James C.\} and Gualtieri, \{J. Anthony\}",

year = "1995",

language = "אנגלית",

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note = "Proceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3) ; Conference date: 10-07-1995 Through 14-07-1995",

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AU - Tilton, James C.

AU - Gualtieri, J. Anthony

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AB - Automated image clustering/classification is a task of considerable importance. To apply this task to remotely sensed imagery, we have pursued an unsupervised clustering scheme based on principles of robust (statistical) estimation. A description of the module employed and results obtained are provided in this paper.

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T2 - Proceedings of the 1995 International Geoscience and Remote Sensing Symposium. Part 3 (of 3)

Y2 - 10 July 1995 through 14 July 1995

ER -

Unsupervised, robust estimation-based clustering of remotely sensed images

Abstract

Conference

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