APPLICATION OF RANDOM FOREST IN IDENTIFYING WINTER WHEAT USING LANDSAT8 IMAGERY
Author:
Affiliation:
1. Tarim University, China
2. Institute of Farmland Irrigation, China
Publisher
FapUNIFESP (SciELO)
Subject
Agricultural and Biological Sciences (miscellaneous)
Link
http://www.scielo.br/pdf/eagri/v41n6/1809-4430-eagri-41-06-0619.pdf
Reference28 articles.
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2. Preliminary analytical method for unsupervised remote sensing image classification based on visual perception and a force field;Cong M;Geocarto International,2018
3. Dynamic changes in the wetland landscape pattern of the Yellow River Delta from 1976 to 2016 based on satellite data;Cong P;Chinese Geographical Science,2019
4. Support-vector networks;Cortes C;Machine Learning,1995
5. Towards operational radar-only crop type classification: comparison of a traditional decision tree with a random forest classifier;Deschamps B;Canadian Journal of Remote Sensing,2012
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