Evaluating training data for crop type classifıcation using support vector machine and random forests
This study evaluated the effectiveness of three different training datasets for crop type classification using both support vector machines (SVMs) and random forests (RFs). In supervised classification, one of the main facing challanges is to define the training set for the full representation of la...
| Main Authors: | , |
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| Format: | Article |
| Language: | Bosnian |
| Published: |
Union of Associations of Geodetic Professionals in Bosnia and Herzegovina
2017-12-01
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| Series: | Geodetski Glasnik |
| Subjects: | |
| Online Access: | https://www.glasnik.suggsbih.ba/glasnik/48/documents/GG48_125.pdf |