Tuominen, S.; Näsi, R.; Honkavaara, E.; Balazs, A.; Hakala, T.; Viljanen, N.; Pölönen, I.; Saari, H.; Ojanen, H.
Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity. Remote Sens. 2018, 10, 714.
https://doi.org/10.3390/rs10050714
AMA Style
Tuominen S, Näsi R, Honkavaara E, Balazs A, Hakala T, Viljanen N, Pölönen I, Saari H, Ojanen H.
Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity. Remote Sensing. 2018; 10(5):714.
https://doi.org/10.3390/rs10050714
Chicago/Turabian Style
Tuominen, Sakari, Roope Näsi, Eija Honkavaara, Andras Balazs, Teemu Hakala, Niko Viljanen, Ilkka Pölönen, Heikki Saari, and Harri Ojanen.
2018. "Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity" Remote Sensing 10, no. 5: 714.
https://doi.org/10.3390/rs10050714
APA Style
Tuominen, S., Näsi, R., Honkavaara, E., Balazs, A., Hakala, T., Viljanen, N., Pölönen, I., Saari, H., & Ojanen, H.
(2018). Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity. Remote Sensing, 10(5), 714.
https://doi.org/10.3390/rs10050714