File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A new volume formula for a simplex and its application to endmember extraction for hyperspectral image analysis

TitleA new volume formula for a simplex and its application to endmember extraction for hyperspectral image analysis
Authors
Issue Date2010
Citation
International Journal of Remote Sensing, 2010, v. 31, n. 4, p. 1027-1035 How to Cite?
AbstractBased on the geometric properties of a simplex, endmembers can be extracted automatically from a hyperspectral image. To avoid the shortcomings of the N-FINDR algorithm, which requires the dimensions of the data to be one less than the number of end members needed, a new volume formula for the simplex without the requirement of dimension reduction is presented here. We demonstrate that the N-FINDR algorithm is a special case of the new method. Moreover, whether the null vector is included as an endmember has an important effect on the final result of the endmember extraction. Finally, we compare the new method with previous methods for endmember extraction of hyperspectral data collected by the Advanced Visible and Infrared Imaging Spectrometer (AVIRIS) over Cuprite, Nevada. © 2010 Taylor & Francis.
Persistent Identifierhttp://hdl.handle.net/10722/296664
ISSN
2023 Impact Factor: 3.0
2023 SCImago Journal Rankings: 0.776
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGeng, Xiurui-
dc.contributor.authorZhao, Yongchao-
dc.contributor.authorWang, Fuxiang-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:24Z-
dc.date.available2021-02-25T15:16:24Z-
dc.date.issued2010-
dc.identifier.citationInternational Journal of Remote Sensing, 2010, v. 31, n. 4, p. 1027-1035-
dc.identifier.issn0143-1161-
dc.identifier.urihttp://hdl.handle.net/10722/296664-
dc.description.abstractBased on the geometric properties of a simplex, endmembers can be extracted automatically from a hyperspectral image. To avoid the shortcomings of the N-FINDR algorithm, which requires the dimensions of the data to be one less than the number of end members needed, a new volume formula for the simplex without the requirement of dimension reduction is presented here. We demonstrate that the N-FINDR algorithm is a special case of the new method. Moreover, whether the null vector is included as an endmember has an important effect on the final result of the endmember extraction. Finally, we compare the new method with previous methods for endmember extraction of hyperspectral data collected by the Advanced Visible and Infrared Imaging Spectrometer (AVIRIS) over Cuprite, Nevada. © 2010 Taylor & Francis.-
dc.languageeng-
dc.relation.ispartofInternational Journal of Remote Sensing-
dc.titleA new volume formula for a simplex and its application to endmember extraction for hyperspectral image analysis-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/01431160903154283-
dc.identifier.scopuseid_2-s2.0-77951125385-
dc.identifier.volume31-
dc.identifier.issue4-
dc.identifier.spage1027-
dc.identifier.epage1035-
dc.identifier.eissn1366-5901-
dc.identifier.isiWOS:000275877800012-
dc.identifier.issnl0143-1161-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats