Fast and Efficient Limited Data Hyperspectral Remote Sensing Image Classification via GMM-Based Synthetic Samples

Davari A, Özkan HC, Maier A, Rieß C (2019)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2019

Journal

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Institute of Electrical and Electronics Engineers (IEEE)

Book Volume: 12

Pages Range: 2107-2120

Journal Issue: 7

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Davari_JSTARS_2019.pdf

DOI: 10.1109/JSTARS.2019.2916495

Authors with CRIS profile

Amirabbas Davari
Hasan Can Özkan Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Christian Rieß Lehrstuhl für Informatik 1 (IT-Sicherheitsinfrastrukturen)

How to cite

APA:

Davari, A., Özkan, H.C., Maier, A., & Rieß, C. (2019). Fast and Efficient Limited Data Hyperspectral Remote Sensing Image Classification via GMM-Based Synthetic Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(7), 2107-2120. https://doi.org/10.1109/JSTARS.2019.2916495

MLA:

Davari, Amirabbas, et al. "Fast and Efficient Limited Data Hyperspectral Remote Sensing Image Classification via GMM-Based Synthetic Samples." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12.7 (2019): 2107-2120.

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