Reclustering hyperspectral data using variance-based criteria

B. Bukhel; S. R. Rotman; D. G. Blumberg

Reclustering hyperspectral data using variance-based criteria

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

2 Scopus citations

Abstract

We have examined the clustering results obtained via our previously published N-dimensional histogram segmentation algorithm. In particular, we have derived a method to recombine areas that have been oversegmented in the initial segmentation process. While the algorithm does reduce the number of clusters, different initial clustering inputs do lead to different clustering results. Methods to compare the different final segmentations will be discussed.

Original language	English
Pages	309-312
Number of pages	4
State	Published - 1 Dec 2004
Event	2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings - Tel-Aviv, Israel Duration: 6 Sep 2004 → 7 Sep 2004

Conference

Conference	2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings
Country/Territory	Israel
City	Tel-Aviv
Period	6/09/04 → 7/09/04

ASJC Scopus subject areas

Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Cite this

@conference{5bfeef8b270b4ee5a77ec35b6bb93e88,

title = "Reclustering hyperspectral data using variance-based criteria",

abstract = "We have examined the clustering results obtained via our previously published N-dimensional histogram segmentation algorithm. In particular, we have derived a method to recombine areas that have been oversegmented in the initial segmentation process. While the algorithm does reduce the number of clusters, different initial clustering inputs do lead to different clustering results. Methods to compare the different final segmentations will be discussed.",

author = "B. Bukhel and Rotman, {S. R.} and Blumberg, {D. G.}",

year = "2004",

month = dec,

day = "1",

language = "English",

pages = "309--312",

note = "2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings ; Conference date: 06-09-2004 Through 07-09-2004",

}

TY - CONF

T1 - Reclustering hyperspectral data using variance-based criteria

AU - Bukhel, B.

AU - Rotman, S. R.

AU - Blumberg, D. G.

PY - 2004/12/1

Y1 - 2004/12/1

N2 - We have examined the clustering results obtained via our previously published N-dimensional histogram segmentation algorithm. In particular, we have derived a method to recombine areas that have been oversegmented in the initial segmentation process. While the algorithm does reduce the number of clusters, different initial clustering inputs do lead to different clustering results. Methods to compare the different final segmentations will be discussed.

AB - We have examined the clustering results obtained via our previously published N-dimensional histogram segmentation algorithm. In particular, we have derived a method to recombine areas that have been oversegmented in the initial segmentation process. While the algorithm does reduce the number of clusters, different initial clustering inputs do lead to different clustering results. Methods to compare the different final segmentations will be discussed.

UR - http://www.scopus.com/inward/record.url?scp=17444395617&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:17444395617

SP - 309

EP - 312

T2 - 2004 23rd IEEE Convention of Electrical and Electronics Engineers in Israel, Proceedings

Y2 - 6 September 2004 through 7 September 2004

ER -

Reclustering hyperspectral data using variance-based criteria

Abstract

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this