ICE: An Automated Statistical Approach to Identifying Endmembers in Hyperspectral Images

Mark Berman; Harri Kiiveri; Ryan Lagerstrom; Andreas Ernst; Rob Dunne; Jon Huntington

ICE: An Automated Statistical Approach to Identifying Endmembers in Hyperspectral Images

Mark Berman
, Harri Kiiveri
, Ryan Lagerstrom
, Andreas Ernst
, Rob Dunne
, Jon Huntington

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

Abstract

Several of the more important endmember-finding algorithms for hyperspectral data are discussed and their short-comings highlighted. A new algorithm, ICE, which attempts to overcome these shortcomings is introduced. An example of its use is given.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Pages	279-283
Number of pages	5
Volume	1
Publication status	Published - 2003
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium 2003 - Toulouse, France Duration: 21 Jul 2003 → 25 Jul 2003 https://ieeexplore.ieee.org/xpl/conhome/9010/proceeding?isnumber=28601 (Proceedings)

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium 2003
Abbreviated title	IGARSS 2003
Country/Territory	France
City	Toulouse
Period	21/07/03 → 25/07/03
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9010/proceeding?isnumber=28601 (Proceedings)

Cite this

@inproceedings{516775064158416cab3972a92fa45b32,

title = "ICE: An Automated Statistical Approach to Identifying Endmembers in Hyperspectral Images",

abstract = "Several of the more important endmember-finding algorithms for hyperspectral data are discussed and their short-comings highlighted. A new algorithm, ICE, which attempts to overcome these shortcomings is introduced. An example of its use is given.",

author = "Mark Berman and Harri Kiiveri and Ryan Lagerstrom and Andreas Ernst and Rob Dunne and Jon Huntington",

year = "2003",

language = "English",

volume = "1",

pages = "279--283",

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

note = "IEEE International Geoscience and Remote Sensing Symposium 2003, IGARSS 2003 ; Conference date: 21-07-2003 Through 25-07-2003",

url = "https://ieeexplore.ieee.org/xpl/conhome/9010/proceeding?isnumber=28601",

}

TY - GEN

T1 - ICE

T2 - IEEE International Geoscience and Remote Sensing Symposium 2003

AU - Berman, Mark

AU - Kiiveri, Harri

AU - Lagerstrom, Ryan

AU - Ernst, Andreas

AU - Dunne, Rob

AU - Huntington, Jon

PY - 2003

Y1 - 2003

N2 - Several of the more important endmember-finding algorithms for hyperspectral data are discussed and their short-comings highlighted. A new algorithm, ICE, which attempts to overcome these shortcomings is introduced. An example of its use is given.

AB - Several of the more important endmember-finding algorithms for hyperspectral data are discussed and their short-comings highlighted. A new algorithm, ICE, which attempts to overcome these shortcomings is introduced. An example of its use is given.

UR - https://www.scopus.com/pages/publications/0242712309

M3 - Conference Paper

AN - SCOPUS:0242712309

VL - 1

SP - 279

EP - 283

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

Y2 - 21 July 2003 through 25 July 2003

ER -

ICE: An Automated Statistical Approach to Identifying Endmembers in Hyperspectral Images

Abstract

Conference

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Cite this