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Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

PaperCitations, authors & open-access status

Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 1,073 citations, 2020 year and gold oa status.

1,073
Citations
2020
Year
gold
OA Status

Related on ScholarIQ

Pedram Ghamisi
Author
Remote-Sensing Image Classification
Topic
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Topic
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