Vote for your favorite mineral in #MinCup25! - Sanidine vs. Hematite
It's a pair of often-overlooked classics as potassium feldspar sanidine competes with iron ore hematite.
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

LÓPEZ, ANTONIO, MOLINA, RAFAEL, MATEOS, JAVIER, KATSAGGELOS, AGGELOS K. (2002) SPECT IMAGE RECONSTRUCTION USING COMPOUND PRIOR MODELS. International Journal of Pattern Recognition and Artificial Intelligence, 16. 317-330 doi:10.1142/s0218001402001708

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleSPECT IMAGE RECONSTRUCTION USING COMPOUND PRIOR MODELS
JournalInternational Journal of Pattern Recognition and Artificial Intelligence
AuthorsLÓPEZ, ANTONIOAuthor
MOLINA, RAFAELAuthor
MATEOS, JAVIERAuthor
KATSAGGELOS, AGGELOS K.Author
Year2002 (May)Volume16
PublisherWorld Scientific Pub Co Pte Lt
DOIdoi:10.1142/s0218001402001708Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID9248855Long-form Identifiermindat:1:5:9248855:3
GUID0
Full ReferenceLÓPEZ, ANTONIO, MOLINA, RAFAEL, MATEOS, JAVIER, KATSAGGELOS, AGGELOS K. (2002) SPECT IMAGE RECONSTRUCTION USING COMPOUND PRIOR MODELS. International Journal of Pattern Recognition and Artificial Intelligence, 16. 317-330 doi:10.1142/s0218001402001708
Plain TextLÓPEZ, ANTONIO, MOLINA, RAFAEL, MATEOS, JAVIER, KATSAGGELOS, AGGELOS K. (2002) SPECT IMAGE RECONSTRUCTION USING COMPOUND PRIOR MODELS. International Journal of Pattern Recognition and Artificial Intelligence, 16. 317-330 doi:10.1142/s0218001402001708
In(n.d.) International Journal of Pattern Recognition and Artificial Intelligence Vol. 16. World Scientific Pub Co Pte Lt

See Also

These are possibly similar items as determined by title/reference text matching only.

Molina, Rafael, Katsaggelos, Aggelos K., Mateos, Javier, Hermoso, Aurora, Segall, C.Andrew (2000) Restoration of severely blurred high range images using stochastic and deterministic relaxation algorithms in compound Gauss–Markov random fields. Pattern Recognition, 33 (4). 555-571 doi:10.1016/s0031-3203(99)00072-2
Ruiz, Pablo, Mateos, Javier, Camps-Valls, Gustavo, Molina, Rafael, Katsaggelos, Aggelos K. (2014) Bayesian Active Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 52 (4) 2186-2196 doi:10.1109/tgrs.2013.2258468
Mateos, Javier, Vega, Miguel, Molina, Rafael, Katsaggelos, Aggelos K (2008) Pansharpening of multispectral images using a TV-based super-resolution algorithm. Journal of Physics: Conference Series, 139. 12022pp. doi:10.1088/1742-6596/139/1/012022
Vera, Esteban, Vega, Miguel, Molina, Rafael, Katsaggelos, Aggelos K. (2013) Iterative image restoration using nonstationary priors. Applied Optics, 52. doi:10.1364/ao.52.00d102
Ruiz, Pablo, Morales-Álvarez, Pablo, Molina, Rafael, Katsaggelos, Aggelos K. (2019) Learning from crowds with variational Gaussian processes. Pattern Recognition, 88. 298-311 doi:10.1016/j.patcog.2018.11.021
LEE, YEUAN-KUEN, CHEN, LING-HWEI (2002) OBJECT-BASED IMAGE STEGANOGRAPHY USING AFFINE TRANSFORMATION. International Journal of Pattern Recognition and Artificial Intelligence, 16. 681-696 doi:10.1142/s0218001402001952
(2002) LIST OF REVIEWERS VOLUME 16 (2002). International Journal of Pattern Recognition and Artificial Intelligence, 16. 1133 doi:10.1142/s0218001402002209
(2002) AUTHOR INDEX VOLUME 16 (2002). International Journal of Pattern Recognition and Artificial Intelligence, 16. 1135-1139 doi:10.1142/s0218001402002192
NAVARRETE, PABLO, RUIZ-DEL-SOLAR, JAVIER (2002) ANALYSIS AND COMPARISON OF EIGENSPACE-BASED FACE RECOGNITION APPROACHES. International Journal of Pattern Recognition and Artificial Intelligence, 16. 817-830 doi:10.1142/s0218001402002003
GOODWIN, JAMES M., ROSEN, BRUCE E., VIDAL, JACQUES J. (1992) IMAGE RECOGNITION AND RECONSTRUCTION USING ASSOCIATIVE MAGNETIC PROCESSING. International Journal of Pattern Recognition and Artificial Intelligence, 6. 157-177 doi:10.1142/s0218001492000096
LLORENS, DAVID, VILAR, JUAN MIGUEL, CASACUBERTA, FRANCISCO (2002) FINITE STATE LANGUAGE MODELS SMOOTHED USING n-GRAMS. International Journal of Pattern Recognition and Artificial Intelligence, 16. 275-289 doi:10.1142/s0218001402001666
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: September 7, 2025 04:46:15
Go to top of page