How to prepare Land Use/ Land Cover (LULC) Using Support Vector Machine (SVM) Classifier

In this Video Lesson we will learn How to prepare Land Use/ Land Cover (LULC) Using Support Vector Mechine (SVM) Classifier
There are several advantages with the SVM classifier tool, as opposed to the maximum likelihood classification method:

The SVM classifier needs much fewer samples and does not require the samples to be normally distributed.
It is less susceptible to noise, correlated bands, and an unbalanced number or size of training sites within each class.

Lesson-1:-    • QGIS Lesson-1 QGIS absolute beginners...  
lesson-2 :-    • QGIS Lesson-2 Digitization in QGIS, D...  
Lesson-3:-   • QGIS Lessons-3 Interface of Google Ea...  
Lesson-4:-   • QGIS Lessons-4 Download DEM,Create Sl...  
Lesson-5:-    • QGIS Lessons 5 Visualization of DEM i...  

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Tags,
Support Vector Mechine (SVM) Classifier, SVM, LULC using SVM, Difference in maximum likelihood classification method and SVM, Support vector mechine classification