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 | 2003 IEEE IGARSS: Learning From Earth's Shapes and Colours - Toulouse, France Duration: 21 Jul 2003 → 25 Jul 2003 |
Conference
| Conference | 2003 IEEE IGARSS: Learning From Earth's Shapes and Colours |
|---|---|
| Country | France |
| City | Toulouse |
| Period | 21/07/03 → 25/07/03 |
Cite this
}
ICE : An Automated Statistical Approach to Identifying Endmembers in Hyperspectral Images. / Berman, Mark; Kiiveri, Harri; Lagerstrom, Ryan; Ernst, Andreas; Dunne, Rob; Huntington, Jon.
International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 1 2003. p. 279-283.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
TY - GEN
T1 - ICE
T2 - An Automated Statistical Approach to Identifying Endmembers in Hyperspectral Images
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 - http://www.scopus.com/inward/record.url?scp=0242712309&partnerID=8YFLogxK
M3 - Conference Paper
VL - 1
SP - 279
EP - 283
BT - International Geoscience and Remote Sensing Symposium (IGARSS)
ER -