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- Publisher Website: 10.1109/TGRS.2016.2606575
- Scopus: eid_2-s2.0-84990864144
- WOS: WOS:000391527900029
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Article: Computationally Efficient Hyperspectral Data Learning Based on the Doubly Stochastic Dirichlet Process
Title | Computationally Efficient Hyperspectral Data Learning Based on the Doubly Stochastic Dirichlet Process |
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Authors | |
Keywords | Bayesian model computational efficiency hyperspectral image (HSI) land covers remote sensing |
Issue Date | 2017 |
Publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=36 |
Citation | IEEE Transactions on Geoscience and Remote Sensing, 2017, v. 55 n. 1, p. 363-374 How to Cite? |
Persistent Identifier | http://hdl.handle.net/10722/234571 |
ISSN | 2023 Impact Factor: 7.5 2023 SCImago Journal Rankings: 2.403 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | SUN, X | - |
dc.contributor.author | Yung, NHC | - |
dc.contributor.author | Lam, EYM | - |
dc.contributor.author | So, HKH | - |
dc.date.accessioned | 2016-10-14T13:47:45Z | - |
dc.date.available | 2016-10-14T13:47:45Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | IEEE Transactions on Geoscience and Remote Sensing, 2017, v. 55 n. 1, p. 363-374 | - |
dc.identifier.issn | 0196-2892 | - |
dc.identifier.uri | http://hdl.handle.net/10722/234571 | - |
dc.language | eng | - |
dc.publisher | Institute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=36 | - |
dc.relation.ispartof | IEEE Transactions on Geoscience and Remote Sensing | - |
dc.rights | IEEE Transactions on Geoscience and Remote Sensing. Copyright © Institute of Electrical and Electronics Engineers. | - |
dc.rights | ©20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | - |
dc.subject | Bayesian model | - |
dc.subject | computational efficiency | - |
dc.subject | hyperspectral image (HSI) | - |
dc.subject | land covers | - |
dc.subject | remote sensing | - |
dc.title | Computationally Efficient Hyperspectral Data Learning Based on the Doubly Stochastic Dirichlet Process | - |
dc.type | Article | - |
dc.identifier.email | Lam, EYM: elam@eee.hku.hk | - |
dc.identifier.email | So, HKH: hso@eee.hku.hk | - |
dc.identifier.authority | Yung, NHC=rp00226 | - |
dc.identifier.authority | Lam, EYM=rp00131 | - |
dc.identifier.authority | So, HKH=rp00169 | - |
dc.identifier.doi | 10.1109/TGRS.2016.2606575 | - |
dc.identifier.scopus | eid_2-s2.0-84990864144 | - |
dc.identifier.hkuros | 268693 | - |
dc.identifier.volume | 55 | - |
dc.identifier.issue | 1 | - |
dc.identifier.spage | 363 | - |
dc.identifier.epage | 374 | - |
dc.identifier.isi | WOS:000391527900029 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0196-2892 | - |