Evaluating the Performance of Classification Algorithms for Land-Cover Classification
Author:
Affiliation:
1. Universidad de la República,Department of Computer Science,Uruguay
2. Universidad de la República,Department of Fluid Mechanics and Environmental Engineering,Uruguay
3. Universidad de la República,Department of Electrical Engineering,Uruguay
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459886.pdf?arnumber=10459886
Reference34 articles.
1. Land Use and Land Cover Mapping Using Sentinel-2, Landsat-8 Satellite Images, and Google Earth Engine: A Comparison of Two Composition Methods
2. Land-cover Mapping from Sentinel Time-Series Imagery on the Google Earth Engine: A Case Study for Hanoi
3. Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing
4. NASA EARTH EXCHANGE: NEXT GENERATION EARTH SCIENCE COLLABORATIVE
5. Google Earth Engine Applications Since Inception: Usage, Trends, and Potential
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