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Leveraging High-Resolution Long-Wave Infrared Hyperspectral Laboratory Imaging Data for Mineral Identification Using Machine Learning Methods.

A. Hamedianfar, K. Laakso, M. Middleton, T. Törmänen, J. Köykkä, and J. Torppa. Remote. Sens., 15 (19): 4806 (October 2023)

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Maarit Hytönen

Neil Middleton

Maarit Hellstén

Hannah Middleton

Maarit Melvasalo

Other publications of authors with the same name

The spatial leave-pair-out cross-validation method for reliable AUC estimation of spatial classifiers.A. Airola, J. Pohjankukka, J. Torppa, M. Middleton, V. Nykänen, J. Heikkonen, and T. Pahikkala. Data Min. Knowl. Discov., 33 (3): 730-747 (2019)Assessing the ability to combine hyperspectral imaging (HSI) data with Mineral Liberation Analyzer (MLA) data to characterize phosphate rocks.K. Laakso, M. Middleton, T. Heinig, R. Bärs, and P. Lintinen. Int. J. Appl. Earth Obs. Geoinformation, (2018)Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland.F. Farahnakian, L. Zelioli, T. Pitkänen, J. Pohjankukka, M. Middleton, S. Tuominen, P. Nevalainen, and J. Heikkonen. FUSION, page 1-8. IEEE, (2023)Detecting Terrain Stoniness From Airborne Laser Scanning Data.P. Nevalainen, M. Middleton, R. Sutinen, J. Heikkonen, and T. Pahikkala. Remote. Sens., 8 (9): 720 (2016)Detecting stony areas based on ground surface curvature distribution.P. Nevalainen, M. Middleton, I. Kaate, T. Pahikkala, R. Sutinen, and J. Heikkonen. IPTA, page 581-587. IEEE, (2015)Imputation of values above an upper detection limit in compositional data.D. Miksová, P. Filzmoser, and M. Middleton. Comput. Geosci., (2020)Integrated Object-Based Image Analysis for semi-automated geological lineament detection in southwest England.C. Yeomans, M. Middleton, R. Shail, S. Grebby, and P. Lusty. Comput. Geosci., (2019)Leveraging High-Resolution Long-Wave Infrared Hyperspectral Laboratory Imaging Data for Mineral Identification Using Machine Learning Methods.A. Hamedianfar, K. Laakso, M. Middleton, T. Törmänen, J. Köykkä, and J. Torppa. Remote. Sens., 15 (19): 4806 (October 2023)CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery.F. Farahnakian, L. Zelioli, M. Middleton, I. Seppä, T. Pitkänen, and J. Heikkonen. ROSE, page 1-7. IEEE, (2023)

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Disambiguation of "Middleton, Maarit"

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Leveraging High-Resolution Long-Wave Infrared Hyperspectral Laboratory Imaging Data for Mineral Identification Using Machine Learning Methods.

Please choose a person to relate this publication to

Maarit Hytönen

Neil Middleton

Maarit Hellstén

Hannah Middleton

Maarit Melvasalo

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Middleton, Maarit"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Leveraging High-Resolution Long-Wave Infrared Hyperspectral Laboratory Imaging Data for Mineral Identification Using Machine Learning Methods.

Please choose a person to relate this publication to

Maarit Hytönen

Neil Middleton

Maarit Hellstén

Hannah Middleton

Maarit Melvasalo

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Leveraging High-Resolution Long-Wave Infrared Hyperspectral Laboratory Imaging Data for Mineral Identification Using Machine Learning Methods.