LAND USE AND LAND COVER CLASSIFICATION USING HYPERSPECTRAL IMAGERY: EVALUATING THE PERFORMANCE OF SPECTRAL ANGLE MAPPER, SUPPORT VECTOR MACHINE AND RANDOM FOREST

Christovam, L. E.; Pessoa, G. G.; Shimabukuro, M. H.; Galo, M. L. B. T.

doi:https://doi.org/10.5194/isprs-archives-XLII-2-W13-1841-2019

Articles | Volume XLII-2/W13

https://doi.org/10.5194/isprs-archives-XLII-2-W13-1841-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/isprs-archives-XLII-2-W13-1841-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume XLII-2/W13

05 Jun 2019

| 05 Jun 2019

LAND USE AND LAND COVER CLASSIFICATION USING HYPERSPECTRAL IMAGERY: EVALUATING THE PERFORMANCE OF SPECTRAL ANGLE MAPPER, SUPPORT VECTOR MACHINE AND RANDOM FOREST

L. E. Christovam, G. G. Pessoa, M. H. Shimabukuro, and M. L. B. T. Galo

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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 823–828, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-823-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-823-2021, 2021

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