Self-Learning Based Land-Cover Classification Using Sequential Class Patterns from Past Land-Cover Maps
Author:
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/9/9/921/pdf
Reference49 articles.
1. Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains
2. Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota
3. Land Cover Classification of Landsat Data with Phenological Features Extracted from Time Series MODIS NDVI Data
4. Land Cover Classification Based on Fused Data from GF-1 and MODIS NDVI Time Series
5. Spatial Estimation of Classification Accuracy Using Indicator Kriging with an Image-Derived Ambiguity Index
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