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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W12-2020
https://doi.org/10.5194/isprs-archives-XLII-3-W12-2020-361-2020
© Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License.
06 Nov 2020
| 06 Nov 2020
CLASSIFICATION OF LAND-COVER THROUGH MACHINE LEARNING ALGORITHMS FOR FUSION OF SENTINEL-2A AND PLANETSCOPE IMAGERY
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The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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