Hello everyone,
What're the best ML algorithms to train and test remote sensing datasets and how we make sure that a good classification is performed?
Dear Driss,
Here are a few examples of the application of ML for RS datasets such as MODIS:
Article Evaluation of Variable-Infiltration Capacity Model and MODIS...
Article Modelling the dynamics of evapotranspiration using Variable ...
Cheers
Ankur
this may be helpful to you
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10790/2503653/Machine-learning-methods-for-remote-sensing-applications-an-overview/10.1117/12.2503653.short?SSO=1#:~:text=Machine%20learning%20algorithms%20have%20successfully,Forests%2C%20and%20artificial%20neural%20networks.
Driss Kaouthar try Random Forest once, and "Accuracy" is the best parameter to judge the performance of a classifier.
Ankur Srivastava , Suraj Bhagat , Argha Ghosh many thanks for your help !
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