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

Vikas Ghadamode

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

12 349 просмотров · 4 года назад
Vikas Ghadamode
28,2 тыс. подписчиков
12 349 просмотров · 4 года назад
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, Geo...   lesson-2 :-    • QGIS Lesson-2 Digitization in QGIS, Downlo...   Lesson-3:-   • QGIS Lessons-3 Interface of Google Earth P...   Lesson-4:-   • QGIS Lessons-4 Download DEM,Create Slope,A...   Lesson-5:-    • QGIS Lessons 5 Visualization of DEM in 3D,...   Contact Any Help Contact Mr. Vikas Ghadamode--Vikasghadamode7@gmail.com WhatsApp Number= +918421031398 Tags, Support Vector Mechine (SVM) Classifier, SVM, LULC using SVM, Difference in maximum likelihood classification method and SVM, Support vector mechine classification